Overview

Dataset statistics

Number of variables307
Number of observations949
Missing cells138736
Missing cells (%)47.6%
Total size in memory2.2 MiB
Average record size in memory2.4 KiB

Variable types

Categorical166
Numeric141

Alerts

DSMIV_pré_fluox has constant value "10.0" Constant
Diagnóstico_clinico_4 has constant value "Atraso linguagem expressiva" Constant
Diagnóstico_clinico_4_Copy has constant value "Macrocefalia " Constant
Reav_WISCIII has constant value "S" Constant
Code has a high cardinality: 949 distinct values High cardinality
ADIRdata has a high cardinality: 708 distinct values High cardinality
ADOS_data has a high cardinality: 578 distinct values High cardinality
AGP/TASC_código has a high cardinality: 282 distinct values High cardinality
Avô_e_Avó_com_psicopatologia_e_ou_P_DPM has a high cardinality: 73 distinct values High cardinality
Capacidade_Especial has a high cardinality: 70 distinct values High cardinality
Karyotype_Result has a high cardinality: 210 distinct values High cardinality
Concelho has a high cardinality: 239 distinct values High cardinality
BD has a high cardinality: 888 distinct values High cardinality
DataQDQI has a high cardinality: 731 distinct values High cardinality
DataVineabr has a high cardinality: 728 distinct values High cardinality
Data_Reav_Griffiths has a high cardinality: 275 distinct values High cardinality
Observation_Date has a high cardinality: 806 distinct values High cardinality
Diagnóstico_etiológico_3 has a high cardinality: 85 distinct values High cardinality
Dismorfismos_Especificar has a high cardinality: 64 distinct values High cardinality
Doenças has a high cardinality: 129 distinct values High cardinality
Est has a high cardinality: 89 distinct values High cardinality
Est._P has a high cardinality: 233 distinct values High cardinality
Estatura_(ALTA) has a high cardinality: 54 distinct values High cardinality
Incidentes has a high cardinality: 188 distinct values High cardinality
Internamentos_História has a high cardinality: 93 distinct values High cardinality
Irmão_A_DN has a high cardinality: 548 distinct values High cardinality
Irmão_B_DN has a high cardinality: 138 distinct values High cardinality
Medicação_actual has a high cardinality: 156 distinct values High cardinality
Motivo_Consulta has a high cardinality: 195 distinct values High cardinality
Mãe_DN has a high cardinality: 744 distinct values High cardinality
Mãe_outras_doenças has a high cardinality: 54 distinct values High cardinality
Mãe_profissão has a high cardinality: 250 distinct values High cardinality
Nome_escola has a high cardinality: 695 distinct values High cardinality
Notas_Evolução has a high cardinality: 70 distinct values High cardinality
Outros_exames_S_resultados has a high cardinality: 393 distinct values High cardinality
Pai_DN has a high cardinality: 743 distinct values High cardinality
Pai_profissão has a high cardinality: 328 distinct values High cardinality
Primeira_consulta_autismo-desenv. has a high cardinality: 833 distinct values High cardinality
Primos_com_psicopatologia_e_ou_P_DPM has a high cardinality: 121 distinct values High cardinality
Problemas_Outros has a high cardinality: 71 distinct values High cardinality
Problemas_Perinatais_e_neonatais has a high cardinality: 103 distinct values High cardinality
Problemas_Quais has a high cardinality: 221 distinct values High cardinality
Problemas_alimentares has a high cardinality: 63 distinct values High cardinality
Problemas_do_sono has a high cardinality: 64 distinct values High cardinality
Quais_alterações_genéticas has a high cardinality: 138 distinct values High cardinality
Quais_terapias has a high cardinality: 165 distinct values High cardinality
RMN_resultado has a high cardinality: 57 distinct values High cardinality
Tios_com_psicopatologia_e_ou_p_DPM has a high cardinality: 95 distinct values High cardinality
Vision has a high cardinality: 53 distinct values High cardinality
WISCIII_Data has a high cardinality: 257 distinct values High cardinality
ABcut-off_PEA has 239 (25.2%) missing values Missing
ABcut-off_autismo has 238 (25.1%) missing values Missing
ADIR has 50 (5.3%) missing values Missing
ADIR_AbDev has 105 (11.1%) missing values Missing
ADIR_Soc has 91 (9.6%) missing values Missing
ADIR_C_7 has 494 (52.1%) missing values Missing
ADIR_C_8 has 546 (57.5%) missing values Missing
ADIR_RRB has 92 (9.7%) missing values Missing
ADIR_quot has 82 (8.6%) missing values Missing
ADIR_idade_meses has 116 (12.2%) missing values Missing
ADIRdata has 116 (12.2%) missing values Missing
ADOS has 35 (3.7%) missing values Missing
ADOS_data has 231 (24.3%) missing values Missing
ADOS_idade_ has 231 (24.3%) missing values Missing
ADOS_Sev has 227 (23.9%) missing values Missing
ADOScomunicação_A has 234 (24.7%) missing values Missing
ADOSinteracção_B has 234 (24.7%) missing values Missing
ADOSmódulo has 227 (23.9%) missing values Missing
AGP/TASC_código has 667 (70.3%) missing values Missing
Acidos_Orgânicos_Resultado has 312 (32.9%) missing values Missing
Acut-off_PEA has 251 (26.4%) missing values Missing
Acut-off_autismo has 250 (26.3%) missing values Missing
Agendamento_reav._Griffiths has 945 (99.6%) missing values Missing
Agregado_Meio has 836 (88.1%) missing values Missing
Alcool has 35 (3.7%) missing values Missing
Aminoácidos_urinários_Resultado has 435 (45.8%) missing values Missing
Ano_lectivo has 98 (10.3%) missing values Missing
Apgar_1 has 286 (30.1%) missing values Missing
Apgar_5 has 84 (8.9%) missing values Missing
AplusB has 228 (24.0%) missing values Missing
Apoio has 169 (17.8%) missing values Missing
Ari_WISCIII has 715 (75.3%) missing values Missing
Ari_WPPSIR has 934 (98.4%) missing values Missing
Asperger has 410 (43.2%) missing values Missing
PMD_Delay has 36 (3.8%) missing values Missing
Audition has 50 (5.3%) missing values Missing
Avô_e_Avó_com_psicopatologia_e_ou_P_DPM has 785 (82.7%) missing values Missing
Bcut-off_PEA has 251 (26.4%) missing values Missing
Bcut-off_autismo has 250 (26.3%) missing values Missing
CG_WISCIII has 711 (74.9%) missing values Missing
CG_WPPSIR has 935 (98.5%) missing values Missing
CO_WISCIII has 712 (75.0%) missing values Missing
CO_WPPSIR has 934 (98.4%) missing values Missing
VABS_Aut has 301 (31.7%) missing values Missing
VABS_Com has 301 (31.7%) missing values Missing
CP_Global_Vin has 303 (31.9%) missing values Missing
CP_Motricidade_Vin has 735 (77.4%) missing values Missing
VABS_Soc has 299 (31.5%) missing values Missing
Capacidade_Especial has 268 (28.2%) missing values Missing
Cariótipo has 100 (10.5%) missing values Missing
Karyotype_Result has 112 (11.8%) missing values Missing
Cb_WISCIII has 709 (74.7%) missing values Missing
Cd_WISCIII has 711 (74.9%) missing values Missing
Com_WISCIII has 717 (75.6%) missing values Missing
Com_WPPSIR has 934 (98.4%) missing values Missing
Consanguinidade has 18 (1.9%) missing values Missing
Controle_Esfincteres_Dia has 192 (20.2%) missing values Missing
Controle_Esfincteres_Noite has 302 (31.8%) missing values Missing
Currículo has 462 (48.7%) missing values Missing
D.R.E. has 243 (25.6%) missing values Missing
DG_WISCIII has 711 (74.9%) missing values Missing
DSMIV has 243 (25.6%) missing values Missing
DSMIV_A has 293 (30.9%) missing values Missing
DSMIV_B has 292 (30.8%) missing values Missing
DSMIV_C has 299 (31.5%) missing values Missing
DSMIV_pré_fluox has 948 (99.9%) missing values Missing
DataQDQI has 119 (12.5%) missing values Missing
DataVineabr has 83 (8.7%) missing values Missing
Data_Reav_Griffiths has 655 (69.0%) missing values Missing
Data_Reav_WISCIII has 947 (99.8%) missing values Missing
Observation_Date has 40 (4.2%) missing values Missing
Diagnostico_qual has 894 (94.2%) missing values Missing
Secondary_Diagnosis has 38 (4.0%) missing values Missing
Clinical_Diagnosis has 886 (93.4%) missing values Missing
Diagnóstico_clinico_4 has 948 (99.9%) missing values Missing
Diagnóstico_clinico_4_Copy has 943 (99.4%) missing values Missing
Diagnóstico_etiológico_1 has 774 (81.6%) missing values Missing
Diagnóstico_etiológico_2 has 797 (84.0%) missing values Missing
Diagnóstico_etiológico_3 has 856 (90.2%) missing values Missing
Dysmorphysm has 56 (5.9%) missing values Missing
Dismorfismos_Especificar has 841 (88.6%) missing values Missing
Doença_Autista has 323 (34.0%) missing values Missing
Doença_Autista_Nº has 322 (33.9%) missing values Missing
Drogas has 35 (3.7%) missing values Missing
EEG_resultado has 778 (82.0%) missing values Missing
EN_Preferencia_mão has 180 (19.0%) missing values Missing
Est has 91 (9.6%) missing values Missing
Est.12M has 874 (92.1%) missing values Missing
Est.15M has 879 (92.6%) missing values Missing
Est.18M has 876 (92.3%) missing values Missing
Est.24M has 873 (92.0%) missing values Missing
Est.2M has 871 (91.8%) missing values Missing
Est.36M has 874 (92.1%) missing values Missing
Est.4M has 873 (92.0%) missing values Missing
Est.6M has 872 (91.9%) missing values Missing
Est.9M has 875 (92.2%) missing values Missing
Est._P has 92 (9.7%) missing values Missing
Estatura_(ALTA) has 851 (89.7%) missing values Missing
Estudo_genético has 200 (21.1%) missing values Missing
FG_WPPSIR has 934 (98.4%) missing values Missing
FM_WPPSIR has 944 (99.5%) missing values Missing
FRAXA_Result has 117 (12.3%) missing values Missing
FRAXE_Result has 547 (57.6%) missing values Missing
GAA has 256 (27.0%) missing values Missing
Griffiths has 61 (6.4%) missing values Missing
Griffiths_QD_Global has 132 (13.9%) missing values Missing
Griffiths_TM_Joana has 811 (85.5%) missing values Missing
Psyc_Family_Hist has 17 (1.8%) missing values Missing
IC_Reav_Griffiths has 635 (66.9%) missing values Missing
IC_Reav_WISCIII has 916 (96.5%) missing values Missing
IM_G has 136 (14.3%) missing values Missing
IM_L has 142 (15.0%) missing values Missing
IM_M has 139 (14.6%) missing values Missing
IM_O/M has 139 (14.6%) missing values Missing
IM_P/S has 140 (14.8%) missing values Missing
IM_R has 139 (14.6%) missing values Missing
IM_R/P has 227 (23.9%) missing values Missing
QDQI_Age has 115 (12.1%) missing values Missing
Diag_Age has 298 (31.4%) missing values Missing
Idade_Gestacional_ has 40 (4.2%) missing values Missing
Idade_WISCIII has 681 (71.8%) missing values Missing
Idade_WPPSIR_ has 892 (94.0%) missing values Missing
Idade_de_início has 161 (17.0%) missing values Missing
Idade_inicio_coincide_com_ has 102 (10.7%) missing values Missing
Incidentes has 21 (2.2%) missing values Missing
Inf_WISCIII has 715 (75.3%) missing values Missing
Inf_WPPSIR has 934 (98.4%) missing values Missing
Internamentos_História has 800 (84.3%) missing values Missing
Irmão_A_DN has 369 (38.9%) missing values Missing
Irmão_A_outras_doenças has 778 (82.0%) missing values Missing
Irmão_A_preferencia_mão has 450 (47.4%) missing values Missing
Irmão_A_problemas_DPM has 324 (34.1%) missing values Missing
Irmão_A_psicopatologia has 325 (34.2%) missing values Missing
Irmão_A_sexo has 299 (31.5%) missing values Missing
Irmão_B_DN has 803 (84.6%) missing values Missing
Irmão_B_Psicopatologia has 785 (82.7%) missing values Missing
Irmão_B_outras_doenças has 900 (94.8%) missing values Missing
Irmão_B_preferencia_mão has 833 (87.8%) missing values Missing
Irmão_B_problemas_DPM has 786 (82.8%) missing values Missing
Irmão_B_sexo has 777 (81.9%) missing values Missing
Irmão_C_DN has 916 (96.5%) missing values Missing
Irmão_C_Psicopatologia has 915 (96.4%) missing values Missing
Irmão_C_outras_doenças has 936 (98.6%) missing values Missing
Irmão_C_problemas_DPM has 915 (96.4%) missing values Missing
Irmão_C_sexo has 910 (95.9%) missing values Missing
Irmãos_outros_com_psicopatologia_e_ou_P_DPM has 884 (93.2%) missing values Missing
Lb_WPPSIR has 934 (98.4%) missing values Missing
MD_WISCIII has 827 (87.1%) missing values Missing
Manchas_cutaneas has 49 (5.2%) missing values Missing
Medicamentos_Quais has 892 (94.0%) missing values Missing
Medicação_actual has 46 (4.8%) missing values Missing
Motivo_Consulta has 14 (1.5%) missing values Missing
Mãe_DN has 162 (17.1%) missing values Missing
Mãe_estado_civil has 253 (26.7%) missing values Missing
Mãe_nível_académico has 74 (7.8%) missing values Missing
Mãe_outras_doenças has 689 (72.6%) missing values Missing
Mãe_preferência_mão has 151 (15.9%) missing values Missing
Mãe_problemas_DPM has 30 (3.2%) missing values Missing
Mãe_profissão has 122 (12.9%) missing values Missing
Mãe_psicopatologia has 25 (2.6%) missing values Missing
Mãe_raça has 266 (28.0%) missing values Missing
Nisongerpais has 406 (42.8%) missing values Missing
Nisongerprof has 406 (42.8%) missing values Missing
Nome_escola has 173 (18.2%) missing values Missing
Notas_Evolução has 875 (92.2%) missing values Missing
Nível_Funcional/QDG has 123 (13.0%) missing values Missing
Nível_matricula has 265 (27.9%) missing values Missing
Organomegálias has 93 (9.8%) missing values Missing
Origem_Familia_P has 704 (74.2%) missing values Missing
Outros_exames_S has 152 (16.0%) missing values Missing
Outros_exames_S_resultados has 98 (10.3%) missing values Missing
HC has 179 (18.9%) missing values Missing
PC_(ALTA) has 856 (90.2%) missing values Missing
PC_12M has 874 (92.1%) missing values Missing
PC_15M has 880 (92.7%) missing values Missing
PC_18M has 876 (92.3%) missing values Missing
PC_24M has 873 (92.0%) missing values Missing
PC_2M has 872 (91.9%) missing values Missing
PC_36M has 877 (92.4%) missing values Missing
PC_4M has 873 (92.0%) missing values Missing
PC_6M has 872 (91.9%) missing values Missing
PC_9M has 875 (92.2%) missing values Missing
PC__P has 205 (21.6%) missing values Missing
PDD_N/E has 422 (44.5%) missing values Missing
PS_WISCIII has 745 (78.5%) missing values Missing
Pai_DN has 166 (17.5%) missing values Missing
Pai_Estado_civil has 249 (26.2%) missing values Missing
Pai_Raça has 273 (28.8%) missing values Missing
Pai_nível_académico has 75 (7.9%) missing values Missing
Pai_outras_doenças has 693 (73.0%) missing values Missing
Pai_preferência_mão has 150 (15.8%) missing values Missing
Pai_problemas_DPM has 23 (2.4%) missing values Missing
Pai_profissão has 97 (10.2%) missing values Missing
Pai_psicopatologia has 21 (2.2%) missing values Missing
Parto_Hospitalar has 67 (7.1%) missing values Missing
Parto_Para has 14 (1.5%) missing values Missing
Parto_Problemas has 44 (4.6%) missing values Missing
Parto_Reanimação has 60 (6.3%) missing values Missing
Parto_Tipo has 29 (3.1%) missing values Missing
Peso_ has 66 (7.0%) missing values Missing
Peso_(ALTA) has 852 (89.8%) missing values Missing
Peso_12M has 874 (92.1%) missing values Missing
Peso_15M has 879 (92.6%) missing values Missing
Peso_18M has 876 (92.3%) missing values Missing
Peso_24M has 873 (92.0%) missing values Missing
Peso_2M has 871 (91.8%) missing values Missing
Peso_36M has 874 (92.1%) missing values Missing
Peso_4M has 872 (91.9%) missing values Missing
Peso_6M has 872 (91.9%) missing values Missing
Peso_9M has 874 (92.1%) missing values Missing
Peso_P has 163 (17.2%) missing values Missing
Ponto_redox_plasmático has 346 (36.5%) missing values Missing
Primeira_consulta_autismo-desenv. has 12 (1.3%) missing values Missing
First_Phrases_Age has 241 (25.4%) missing values Missing
First_Words_Age has 74 (7.8%) missing values Missing
Primos_com_psicopatologia_e_ou_P_DPM has 737 (77.7%) missing values Missing
Problemas_Outros has 45 (4.7%) missing values Missing
Problemas_Perinatais_e_neonatais has 41 (4.3%) missing values Missing
Problemas_Quais has 48 (5.1%) missing values Missing
Problemas_alimentares has 22 (2.3%) missing values Missing
Problemas_do_sono has 24 (2.5%) missing values Missing
Psicopatologia_criança has 230 (24.2%) missing values Missing
QD/QILing has 64 (6.7%) missing values Missing
QD/QIReal has 57 (6.0%) missing values Missing
QD/QIglobal has 62 (6.5%) missing values Missing
QDLreav has 657 (69.2%) missing values Missing
QDGreav has 657 (69.2%) missing values Missing
QDMreav has 657 (69.2%) missing values Missing
QDEHreav has 658 (69.3%) missing values Missing
QDPSreav has 657 (69.2%) missing values Missing
QDRPreav has 657 (69.2%) missing values Missing
QDRreav has 657 (69.2%) missing values Missing
QD_L has 134 (14.1%) missing values Missing
QD_M has 133 (14.0%) missing values Missing
QD_EH has 132 (13.9%) missing values Missing
QD_PS has 132 (13.9%) missing values Missing
QD_R has 132 (13.9%) missing values Missing
QD_PR has 219 (23.1%) missing values Missing
QI has 301 (31.7%) missing values Missing
Qd_WPPSIR has 934 (98.4%) missing values Missing
Quais_alterações_genéticas has 805 (84.8%) missing values Missing
Quais_terapias has 433 (45.6%) missing values Missing
RMN_resultado has 697 (73.4%) missing values Missing
Reav_Griffiths has 620 (65.3%) missing values Missing
Reav_WISCIII has 947 (99.8%) missing values Missing
PMD_Regression has 54 (5.7%) missing values Missing
Regressão_D_idade/_clinica has 883 (93.0%) missing values Missing
Regressão_Ling_idade has 706 (74.4%) missing values Missing
Language_Regr has 51 (5.4%) missing values Missing
Saúde_Geral has 60 (6.3%) missing values Missing
Sem_WISCIII has 715 (75.3%) missing values Missing
Sem_WPPSIR has 935 (98.5%) missing values Missing
Sentar has 369 (38.9%) missing values Missing
Sintomas has 943 (99.4%) missing values Missing
TAC_resultado has 858 (90.4%) missing values Missing
TA_WPPSIR has 941 (99.2%) missing values Missing
Tabaco has 33 (3.5%) missing values Missing
Terapias has 246 (25.9%) missing values Missing
Tios_com_psicopatologia_e_ou_p_DPM has 768 (80.9%) missing values Missing
Tipo_de_apoio has 295 (31.1%) missing values Missing
Vineland has 944 (99.5%) missing values Missing
Vineland_abr_Autonomia_DP-P has 186 (19.6%) missing values Missing
Vineland_abr_Socialização_DP-P has 186 (19.6%) missing values Missing
Vineland_abr_comportamento_maladaptativo has 720 (75.9%) missing values Missing
Vineland_abr_comunicação_DP-_P has 187 (19.7%) missing values Missing
Vineland_abr_global_DP-P has 188 (19.8%) missing values Missing
Vineland_abr_motricidade_DP-P has 720 (75.9%) missing values Missing
Vineland_ext_autonomia_DP-P has 947 (99.8%) missing values Missing
Vineland_ext_comportamento_maladaptativo has 946 (99.7%) missing values Missing
Vineland_ext_comunicação_DP-P has 947 (99.8%) missing values Missing
Vineland_ext_global_DP-P has 947 (99.8%) missing values Missing
Vineland_ext_socialização_DP-P has 946 (99.7%) missing values Missing
Vision has 101 (10.6%) missing values Missing
Voc_WISCIII has 716 (75.4%) missing values Missing
Voc_WPPSIR has 934 (98.4%) missing values Missing
WISCIII has 272 (28.7%) missing values Missing
WISCIIIG has 684 (72.1%) missing values Missing
WISCIIIR has 674 (71.0%) missing values Missing
WISCIIIV has 683 (72.0%) missing values Missing
WISCIII_Data has 675 (71.1%) missing values Missing
WISCIII_Pcv has 725 (76.4%) missing values Missing
WISCIII_Pop has 715 (75.3%) missing values Missing
WISCIII_Pvp has 749 (78.9%) missing values Missing
WISCIIIcv has 711 (74.9%) missing values Missing
WISCIIIop has 706 (74.4%) missing values Missing
WISCIIIvp has 736 (77.6%) missing values Missing
WPPSI-R has 317 (33.4%) missing values Missing
WPPSI-R_QIec has 924 (97.4%) missing values Missing
WPPSI-R_QIr has 924 (97.4%) missing values Missing
WPPSI-R_QIv has 924 (97.4%) missing values Missing
WPPSIR_data has 922 (97.2%) missing values Missing
nivel_autonomia_V has 165 (17.4%) missing values Missing
verbal has 365 (38.5%) missing values Missing
HC is highly skewed (γ1 = 27.70156579) Skewed
Vineland_abr_global_DP-P is highly skewed (γ1 = 27.58391948) Skewed
Code has unique values Unique
ADIR_AbDev has 26 (2.7%) zeros Zeros
ADIR_RRB has 10 (1.1%) zeros Zeros
IM_R/P has 134 (14.1%) zeros Zeros
QD_PR has 138 (14.5%) zeros Zeros

Reproduction

Analysis started2022-12-16 17:30:46.001683
Analysis finished2022-12-16 17:30:48.206401
Duration2.2 seconds
Software versionpandas-profiling v3.1.0
Download configurationconfig.json

Variables

Code
Categorical

HIGH CARDINALITY
UNIQUE

Distinct949
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
AA1
 
1
AA622
 
1
AA659
 
1
AA759
 
1
AA611
 
1
Other values (944)
944 

Unique

Unique949 ?
Unique (%)100.0%

Sample

1st rowAA1
2nd rowAA34
3rd rowAA36
4th rowAA51
5th rowAA72

Common Values

ValueCountFrequency (%)
AA11
 
0.1%
AA6221
 
0.1%
AA6591
 
0.1%
AA7591
 
0.1%
AA6111
 
0.1%
AA7191
 
0.1%
AA6001
 
0.1%
AA8001
 
0.1%
AA6241
 
0.1%
AA7151
 
0.1%
Other values (939)939
98.9%

ABcut-off_PEA
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)0.6%
Missing239
Missing (%)25.2%
Infinite0
Infinite (%)0.0%
Mean7.332394366
Minimum7
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:30:48.366788image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile7
Q17
median7
Q38
95-th percentile8
Maximum11
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6003700429
Coefficient of variation (CV)0.0818791261
Kurtosis13.42591293
Mean7.332394366
Median Absolute Deviation (MAD)0
Skewness2.883030698
Sum5206
Variance0.3604441884
MonotonicityNot monotonic
2022-12-16T17:30:48.479635image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
7499
52.6%
8202
21.3%
118
 
0.8%
91
 
0.1%
(Missing)239
25.2%
ValueCountFrequency (%)
7499
52.6%
8202
21.3%
91
 
0.1%
118
 
0.8%
ValueCountFrequency (%)
118
 
0.8%
91
 
0.1%
8202
21.3%
7499
52.6%

ABcut-off_autismo
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)0.6%
Missing238
Missing (%)25.1%
Infinite0
Infinite (%)0.0%
Mean11.70182841
Minimum9
Maximum16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:30:48.601573image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile10
Q112
median12
Q312
95-th percentile12
Maximum16
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8871441942
Coefficient of variation (CV)0.07581244255
Kurtosis5.792457133
Mean11.70182841
Median Absolute Deviation (MAD)0
Skewness0.04995019192
Sum8320
Variance0.7870248212
MonotonicityNot monotonic
2022-12-16T17:30:48.706216image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
12582
61.3%
10119
 
12.5%
168
 
0.8%
92
 
0.2%
(Missing)238
25.1%
ValueCountFrequency (%)
92
 
0.2%
10119
 
12.5%
12582
61.3%
168
 
0.8%
ValueCountFrequency (%)
168
 
0.8%
12582
61.3%
10119
 
12.5%
92
 
0.2%

ADIR
Categorical

MISSING

Distinct2
Distinct (%)0.2%
Missing50
Missing (%)5.3%
Memory size7.5 KiB
S
868 
N
 
31

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowS
2nd rowS
3rd rowS
4th rowS
5th rowS

Common Values

ValueCountFrequency (%)
S868
91.5%
N31
 
3.3%
(Missing)50
 
5.3%

ADIR_AbDev
Real number (ℝ≥0)

MISSING
ZEROS

Distinct8
Distinct (%)0.9%
Missing105
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean4.009478673
Minimum0
Maximum25
Zeros26
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:30:48.821733image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median4
Q35
95-th percentile5
Maximum25
Range25
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.509135554
Coefficient of variation (CV)0.3763919643
Kurtosis44.26229404
Mean4.009478673
Median Absolute Deviation (MAD)1
Skewness2.250568932
Sum3384
Variance2.277490119
MonotonicityNot monotonic
2022-12-16T17:30:48.931862image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
5402
42.4%
4206
21.7%
3120
 
12.6%
246
 
4.8%
137
 
3.9%
026
 
2.7%
66
 
0.6%
251
 
0.1%
(Missing)105
 
11.1%
ValueCountFrequency (%)
026
 
2.7%
137
 
3.9%
246
 
4.8%
3120
12.6%
4206
21.7%
ValueCountFrequency (%)
251
 
0.1%
66
 
0.6%
5402
42.4%
4206
21.7%
3120
 
12.6%

ADIR_Soc
Real number (ℝ≥0)

MISSING

Distinct31
Distinct (%)3.6%
Missing91
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean19.12121212
Minimum0
Maximum30
Zeros3
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:30:49.056088image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q114
median19
Q325
95-th percentile30
Maximum30
Range30
Interquartile range (IQR)11

Descriptive statistics

Standard deviation6.792592741
Coefficient of variation (CV)0.3552386061
Kurtosis-0.8509110692
Mean19.12121212
Median Absolute Deviation (MAD)6
Skewness-0.1552688005
Sum16406
Variance46.13931615
MonotonicityNot monotonic
2022-12-16T17:30:49.183629image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
2852
 
5.5%
1650
 
5.3%
1447
 
5.0%
2245
 
4.7%
3045
 
4.7%
1745
 
4.7%
1145
 
4.7%
2645
 
4.7%
1342
 
4.4%
2440
 
4.2%
Other values (21)402
42.4%
(Missing)91
 
9.6%
ValueCountFrequency (%)
03
0.3%
11
 
0.1%
22
0.2%
32
0.2%
42
0.2%
ValueCountFrequency (%)
3045
4.7%
2927
2.8%
2852
5.5%
2727
2.8%
2645
4.7%

ADIR_C_7
Real number (ℝ≥0)

MISSING

Distinct16
Distinct (%)3.5%
Missing494
Missing (%)52.1%
Infinite0
Infinite (%)0.0%
Mean9.778021978
Minimum1
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:30:49.310257image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q17
median10
Q312
95-th percentile14
Maximum18
Range17
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.912293637
Coefficient of variation (CV)0.2978407743
Kurtosis-0.1554175779
Mean9.778021978
Median Absolute Deviation (MAD)2
Skewness-0.2690428995
Sum4449
Variance8.481454229
MonotonicityNot monotonic
2022-12-16T17:30:49.422284image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
782
 
8.6%
1461
 
6.4%
952
 
5.5%
851
 
5.4%
1250
 
5.3%
1047
 
5.0%
1146
 
4.8%
1331
 
3.3%
59
 
0.9%
67
 
0.7%
Other values (6)19
 
2.0%
(Missing)494
52.1%
ValueCountFrequency (%)
13
 
0.3%
26
0.6%
32
 
0.2%
46
0.6%
59
0.9%
ValueCountFrequency (%)
181
 
0.1%
161
 
0.1%
1461
6.4%
1331
3.3%
1250
5.3%

ADIR_C_8
Real number (ℝ≥0)

MISSING

Distinct27
Distinct (%)6.7%
Missing546
Missing (%)57.5%
Infinite0
Infinite (%)0.0%
Mean12.00744417
Minimum0
Maximum26
Zeros2
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:30:49.556034image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q18
median11
Q316
95-th percentile21
Maximum26
Range26
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.061064345
Coefficient of variation (CV)0.4214938895
Kurtosis-0.1793483907
Mean12.00744417
Median Absolute Deviation (MAD)3
Skewness0.4189957888
Sum4839
Variance25.61437231
MonotonicityNot monotonic
2022-12-16T17:30:49.688167image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
865
 
6.8%
936
 
3.8%
1033
 
3.5%
1229
 
3.1%
1128
 
3.0%
1325
 
2.6%
1421
 
2.2%
1720
 
2.1%
1818
 
1.9%
1616
 
1.7%
Other values (17)112
 
11.8%
(Missing)546
57.5%
ValueCountFrequency (%)
02
 
0.2%
12
 
0.2%
24
0.4%
35
0.5%
49
0.9%
ValueCountFrequency (%)
262
 
0.2%
251
 
0.1%
248
0.8%
231
 
0.1%
226
0.6%

ADIR_RRB
Real number (ℝ≥0)

MISSING
ZEROS

Distinct15
Distinct (%)1.8%
Missing92
Missing (%)9.7%
Infinite0
Infinite (%)0.0%
Mean4.63243874
Minimum0
Maximum23
Zeros10
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:30:49.807707image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13
median4
Q36
95-th percentile8
Maximum23
Range23
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.111168068
Coefficient of variation (CV)0.4557357769
Kurtosis7.076164504
Mean4.63243874
Median Absolute Deviation (MAD)1
Skewness1.462527741
Sum3970
Variance4.457030611
MonotonicityNot monotonic
2022-12-16T17:30:50.006950image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
4214
22.6%
3210
22.1%
5123
13.0%
6102
10.7%
854
 
5.7%
753
 
5.6%
242
 
4.4%
115
 
1.6%
1013
 
1.4%
912
 
1.3%
Other values (5)19
 
2.0%
(Missing)92
9.7%
ValueCountFrequency (%)
010
 
1.1%
115
 
1.6%
242
 
4.4%
3210
22.1%
4214
22.6%
ValueCountFrequency (%)
231
 
0.1%
131
 
0.1%
124
 
0.4%
113
 
0.3%
1013
1.4%

ADIR_quot
Categorical

MISSING

Distinct2
Distinct (%)0.2%
Missing82
Missing (%)8.6%
Memory size7.5 KiB
Positive
769 
Negative
98 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPositive
2nd rowPositive
3rd rowPositive
4th rowPositive
5th rowPositive

Common Values

ValueCountFrequency (%)
Positive769
81.0%
Negative98
 
10.3%
(Missing)82
 
8.6%

ADIR_idade_meses
Real number (ℝ≥0)

MISSING

Distinct143
Distinct (%)17.2%
Missing116
Missing (%)12.2%
Infinite0
Infinite (%)0.0%
Mean64.69867947
Minimum15
Maximum245
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:30:50.141819image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile30
Q142
median52
Q379
95-th percentile138
Maximum245
Range230
Interquartile range (IQR)37

Descriptive statistics

Standard deviation34.59649564
Coefficient of variation (CV)0.5347326393
Kurtosis2.530949656
Mean64.69867947
Median Absolute Deviation (MAD)13
Skewness1.570737958
Sum53894
Variance1196.91751
MonotonicityNot monotonic
2022-12-16T17:30:50.303035image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5030
 
3.2%
4930
 
3.2%
5126
 
2.7%
3924
 
2.5%
4822
 
2.3%
5221
 
2.2%
5719
 
2.0%
3819
 
2.0%
4218
 
1.9%
4418
 
1.9%
Other values (133)606
63.9%
(Missing)116
 
12.2%
ValueCountFrequency (%)
151
 
0.1%
191
 
0.1%
203
0.3%
221
 
0.1%
244
0.4%
ValueCountFrequency (%)
2451
0.1%
2142
0.2%
2041
0.1%
1911
0.1%
1901
0.1%

ADIRdata
Categorical

HIGH CARDINALITY
MISSING

Distinct708
Distinct (%)85.0%
Missing116
Missing (%)12.2%
Memory size7.5 KiB
2011-12-12 00:00:00
 
4
2008-03-04 00:00:00
 
4
2008-05-21 00:00:00
 
4
2001-03-20 00:00:00
 
4
2013-05-13 00:00:00
 
3
Other values (703)
814 

Unique

Unique605 ?
Unique (%)72.6%

Sample

1st row1999-06-01 00:00:00
2nd row2001-04-27 00:00:00
3rd row2001-06-05 00:00:00
4th row2001-01-23 00:00:00
5th row2001-02-09 00:00:00

Common Values

ValueCountFrequency (%)
2011-12-12 00:00:004
 
0.4%
2008-03-04 00:00:004
 
0.4%
2008-05-21 00:00:004
 
0.4%
2001-03-20 00:00:004
 
0.4%
2013-05-13 00:00:003
 
0.3%
2001-04-03 00:00:003
 
0.3%
2006-09-05 00:00:003
 
0.3%
2001-10-23 00:00:003
 
0.3%
2001-06-20 00:00:003
 
0.3%
2001-03-13 00:00:003
 
0.3%
Other values (698)799
84.2%
(Missing)116
 
12.2%

ADOS
Categorical

MISSING

Distinct2
Distinct (%)0.2%
Missing35
Missing (%)3.7%
Memory size7.5 KiB
S
722 
N
192 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowN
2nd rowN
3rd rowS
4th rowN
5th rowN

Common Values

ValueCountFrequency (%)
S722
76.1%
N192
 
20.2%
(Missing)35
 
3.7%

ADOS_data
Categorical

HIGH CARDINALITY
MISSING

Distinct578
Distinct (%)80.5%
Missing231
Missing (%)24.3%
Memory size7.5 KiB
2008-06-17
 
5
2008-10-28
 
4
2009-05-11
 
4
2014-02-17
 
4
2008-09-09
 
3
Other values (573)
698 

Unique

Unique465 ?
Unique (%)64.8%

Sample

1st row2008-11-04
2nd row2006-10-19
3rd row2007-09-05
4th row2008-09-29
5th row2008-10-22

Common Values

ValueCountFrequency (%)
2008-06-175
 
0.5%
2008-10-284
 
0.4%
2009-05-114
 
0.4%
2014-02-174
 
0.4%
2008-09-093
 
0.3%
2008-03-253
 
0.3%
2011-11-083
 
0.3%
2008-11-033
 
0.3%
2008-09-023
 
0.3%
2008-07-143
 
0.3%
Other values (568)683
72.0%
(Missing)231
 
24.3%

ADOS_idade_
Real number (ℝ≥0)

MISSING

Distinct176
Distinct (%)24.5%
Missing231
Missing (%)24.3%
Infinite0
Infinite (%)0.0%
Mean76.17548747
Minimum15
Maximum274
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:30:50.463547image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile29.85
Q142
median59.5
Q398
95-th percentile173.15
Maximum274
Range259
Interquartile range (IQR)56

Descriptive statistics

Standard deviation46.05257272
Coefficient of variation (CV)0.60455895
Kurtosis1.500088188
Mean76.17548747
Median Absolute Deviation (MAD)22.5
Skewness1.34733732
Sum54694
Variance2120.839454
MonotonicityNot monotonic
2022-12-16T17:30:50.626374image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3919
 
2.0%
4417
 
1.8%
3715
 
1.6%
3815
 
1.6%
3515
 
1.6%
3315
 
1.6%
4514
 
1.5%
5714
 
1.5%
4713
 
1.4%
5312
 
1.3%
Other values (166)569
60.0%
(Missing)231
24.3%
ValueCountFrequency (%)
151
0.1%
181
0.1%
201
0.1%
212
0.2%
221
0.1%
ValueCountFrequency (%)
2741
0.1%
2601
0.1%
2491
0.1%
2461
0.1%
2361
0.1%

ADOS_Sev
Categorical

MISSING

Distinct3
Distinct (%)0.4%
Missing227
Missing (%)23.9%
Memory size7.5 KiB
Autism
564 
ASD
141 
Non Spectrum
 
17

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAutism
2nd rowAutism
3rd rowASD
4th rowAutism
5th rowAutism

Common Values

ValueCountFrequency (%)
Autism564
59.4%
ASD141
 
14.9%
Non Spectrum17
 
1.8%
(Missing)227
23.9%

ADOScomunicação_A
Real number (ℝ≥0)

MISSING

Distinct19
Distinct (%)2.7%
Missing234
Missing (%)24.7%
Infinite0
Infinite (%)0.0%
Mean5.444755245
Minimum0
Maximum20
Zeros4
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:30:50.769135image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median5
Q37
95-th percentile9
Maximum20
Range20
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.304109054
Coefficient of variation (CV)0.4231795463
Kurtosis5.906986403
Mean5.444755245
Median Absolute Deviation (MAD)1
Skewness1.359611786
Sum3893
Variance5.308918532
MonotonicityNot monotonic
2022-12-16T17:30:50.891563image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
6147
15.5%
5115
12.1%
4109
11.5%
7104
11.0%
397
10.2%
861
 
6.4%
234
 
3.6%
914
 
1.5%
1010
 
1.1%
17
 
0.7%
Other values (9)17
 
1.8%
(Missing)234
24.7%
ValueCountFrequency (%)
04
 
0.4%
17
 
0.7%
234
 
3.6%
397
10.2%
4109
11.5%
ValueCountFrequency (%)
201
0.1%
191
0.1%
181
0.1%
161
0.1%
152
0.2%

ADOSinteracção_B
Real number (ℝ≥0)

MISSING

Distinct17
Distinct (%)2.4%
Missing234
Missing (%)24.7%
Infinite0
Infinite (%)0.0%
Mean9.104895105
Minimum0
Maximum17
Zeros4
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:30:51.023691image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q17
median9
Q311
95-th percentile14
Maximum17
Range17
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.050722665
Coefficient of variation (CV)0.33506401
Kurtosis-0.3170953865
Mean9.104895105
Median Absolute Deviation (MAD)2
Skewness-0.2365952611
Sum6510
Variance9.306908777
MonotonicityNot monotonic
2022-12-16T17:30:51.136302image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
8102
10.7%
988
 
9.3%
1080
 
8.4%
766
 
7.0%
1164
 
6.7%
1461
 
6.4%
1260
 
6.3%
1352
 
5.5%
549
 
5.2%
647
 
5.0%
Other values (7)46
 
4.8%
(Missing)234
24.7%
ValueCountFrequency (%)
04
 
0.4%
13
 
0.3%
29
0.9%
37
 
0.7%
421
2.2%
ValueCountFrequency (%)
171
 
0.1%
161
 
0.1%
1461
6.4%
1352
5.5%
1260
6.3%

ADOSmódulo
Categorical

MISSING

Distinct5
Distinct (%)0.7%
Missing227
Missing (%)23.9%
Memory size7.5 KiB
1
394 
2
203 
3
119 
4
 
5
I
 
1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row2
2nd row1
3rd row4
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1394
41.5%
2203
21.4%
3119
 
12.5%
45
 
0.5%
I1
 
0.1%
(Missing)227
23.9%

AGP/TASC_código
Categorical

HIGH CARDINALITY
MISSING

Distinct282
Distinct (%)100.0%
Missing667
Missing (%)70.3%
Memory size7.5 KiB
217-14260-14260/3830
 
1
217-14248-14248/3720
 
1
217-14245-14245/3690
 
1
217-14299-14299/4200
 
1
217-14276-14276/3990
 
1
Other values (277)
277 

Unique

Unique282 ?
Unique (%)100.0%

Sample

1st rowAA21
2nd row217-14026-14026/510
3rd row217-14004-14004/20
4th row217-14232-14232/60
5th row217-14005-14005/90

Common Values

ValueCountFrequency (%)
217-14260-14260/38301
 
0.1%
217-14248-14248/37201
 
0.1%
217-14245-14245/36901
 
0.1%
217-14299-14299/42001
 
0.1%
217-14276-14276/39901
 
0.1%
217-14246-14246/37001
 
0.1%
217-14253-14253/37601
 
0.1%
217-14244-14244/36801
 
0.1%
217-14360-14360/47401
 
0.1%
217-14354-14354/46801
 
0.1%
Other values (272)272
28.7%
(Missing)667
70.3%
Distinct7
Distinct (%)1.1%
Missing312
Missing (%)32.9%
Memory size7.5 KiB
Normal
620 
alterado (repetir)
 
10
Alterado
 
3
 
1
alt. discretas
 
1
Other values (2)
 
2

Unique

Unique4 ?
Unique (%)0.6%

Sample

1st rowNormal
2nd rowNormal
3rd rowNormal
4th rowNormal
5th rowNormal

Common Values

ValueCountFrequency (%)
Normal620
65.3%
alterado (repetir)10
 
1.1%
Alterado3
 
0.3%
1
 
0.1%
alt. discretas1
 
0.1%
alterado (repetir) vestigios de 4-hidroxifenil-láctico.1
 
0.1%
vestigios ac metilcitrico1
 
0.1%
(Missing)312
32.9%

Acut-off_PEA
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)0.6%
Missing251
Missing (%)26.4%
Infinite0
Infinite (%)0.0%
Mean2.28982808
Minimum0.3
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:30:51.267620image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0.3
5-th percentile2
Q12
median2
Q33
95-th percentile3
Maximum4
Range3.7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4673834787
Coefficient of variation (CV)0.2041129126
Kurtosis-0.3700641459
Mean2.28982808
Median Absolute Deviation (MAD)0
Skewness0.8696305342
Sum1598.3
Variance0.2184473162
MonotonicityNot monotonic
2022-12-16T17:30:51.372195image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2495
52.2%
3200
21.1%
42
 
0.2%
0.31
 
0.1%
(Missing)251
26.4%
ValueCountFrequency (%)
0.31
 
0.1%
2495
52.2%
3200
21.1%
42
 
0.2%
ValueCountFrequency (%)
42
 
0.2%
3200
21.1%
2495
52.2%
0.31
 
0.1%

Acut-off_autismo
Real number (ℝ)

MISSING

Distinct5
Distinct (%)0.7%
Missing250
Missing (%)26.3%
Infinite0
Infinite (%)0.0%
Mean4.101573677
Minimum-3
Maximum5
Zeros0
Zeros (%)0.0%
Negative1
Negative (%)0.1%
Memory size7.5 KiB
2022-12-16T17:30:51.480094image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-3
5-th percentile3
Q14
median4
Q35
95-th percentile5
Maximum5
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7239143328
Coefficient of variation (CV)0.1764967278
Kurtosis12.08810147
Mean4.101573677
Median Absolute Deviation (MAD)0
Skewness-1.451270284
Sum2867
Variance0.5240519613
MonotonicityNot monotonic
2022-12-16T17:30:51.584455image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4377
39.7%
5200
21.1%
3120
 
12.6%
-31
 
0.1%
21
 
0.1%
(Missing)250
26.3%
ValueCountFrequency (%)
-31
 
0.1%
21
 
0.1%
3120
 
12.6%
4377
39.7%
5200
21.1%
ValueCountFrequency (%)
5200
21.1%
4377
39.7%
3120
 
12.6%
21
 
0.1%
-31
 
0.1%

Agendamento_reav._Griffiths
Categorical

MISSING

Distinct4
Distinct (%)100.0%
Missing945
Missing (%)99.6%
Memory size7.5 KiB
2013-06-12
2012-04-01
2012-04-04
2014-03-25

Unique

Unique4 ?
Unique (%)100.0%

Sample

1st row2013-06-12
2nd row2012-04-01
3rd row2012-04-04
4th row2014-03-25

Common Values

ValueCountFrequency (%)
2013-06-121
 
0.1%
2012-04-011
 
0.1%
2012-04-041
 
0.1%
2014-03-251
 
0.1%
(Missing)945
99.6%

Agregado_Meio
Categorical

MISSING

Distinct2
Distinct (%)1.8%
Missing836
Missing (%)88.1%
Memory size7.5 KiB
Urbano
58 
Rural
55 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowUrbano
2nd rowRural
3rd rowRural
4th rowRural
5th rowRural

Common Values

ValueCountFrequency (%)
Urbano58
 
6.1%
Rural55
 
5.8%
(Missing)836
88.1%

Alcool
Categorical

MISSING

Distinct5
Distinct (%)0.5%
Missing35
Missing (%)3.7%
Memory size7.5 KiB
N
906 
S
 
5
Um copo de vinho ocasional
 
1
1 copo de vinho às refeições
 
1
Ocasional
 
1

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowN
2nd rowN
3rd rowS
4th rowN
5th rowN

Common Values

ValueCountFrequency (%)
N906
95.5%
S5
 
0.5%
Um copo de vinho ocasional1
 
0.1%
1 copo de vinho às refeições1
 
0.1%
Ocasional1
 
0.1%
(Missing)35
 
3.7%
Distinct10
Distinct (%)1.9%
Missing435
Missing (%)45.8%
Memory size7.5 KiB
Normal
491 
Alterado
 
8
alterado (repetir)
 
7
alt. discretas
 
2
alterações ligeiras
 
1
Other values (5)
 
5

Unique

Unique6 ?
Unique (%)1.2%

Sample

1st rowNormal
2nd rowNormal
3rd rowNormal
4th rowNormal
5th rowNormal

Common Values

ValueCountFrequency (%)
Normal491
51.7%
Alterado8
 
0.8%
alterado (repetir)7
 
0.7%
alt. discretas2
 
0.2%
alterações ligeiras1
 
0.1%
alterado - repetido a 26-03-20081
 
0.1%
discretas alterações1
 
0.1%
alt discretas1
 
0.1%
alterações discretas 1
 
0.1%
alterado (repetir) repetiu 16/3/091
 
0.1%
(Missing)435
45.8%

Walk_Age
Real number (ℝ≥0)

Distinct27
Distinct (%)2.9%
Missing9
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean14.98776596
Minimum8
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:30:51.717507image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile11
Q112
median14
Q316
95-th percentile24
Maximum60
Range52
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.658418389
Coefficient of variation (CV)0.3108147273
Kurtosis18.37146478
Mean14.98776596
Median Absolute Deviation (MAD)2
Skewness3.223170014
Sum14088.5
Variance21.70086188
MonotonicityNot monotonic
2022-12-16T17:30:51.851959image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
12182
19.2%
14125
13.2%
13123
13.0%
15109
11.5%
1890
9.5%
1165
 
6.8%
1656
 
5.9%
1744
 
4.6%
2430
 
3.2%
1025
 
2.6%
Other values (17)91
9.6%
ValueCountFrequency (%)
82
 
0.2%
918
 
1.9%
1025
 
2.6%
1165
 
6.8%
12182
19.2%
ValueCountFrequency (%)
601
 
0.1%
482
 
0.2%
441
 
0.1%
366
0.6%
331
 
0.1%

Ano_Diag.
Real number (ℝ≥0)

Distinct32
Distinct (%)3.4%
Missing2
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean2007.459345
Minimum1990
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:30:51.990148image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1990
5-th percentile1998
Q12002
median2007
Q32012
95-th percentile2017
Maximum2022
Range32
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.243574693
Coefficient of variation (CV)0.003110187365
Kurtosis-0.6687486719
Mean2007.459345
Median Absolute Deviation (MAD)5
Skewness-0.05764674108
Sum1901064
Variance38.98222494
MonotonicityNot monotonic
2022-12-16T17:30:52.122636image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
200763
 
6.6%
200856
 
5.9%
201355
 
5.8%
200153
 
5.6%
200253
 
5.6%
201152
 
5.5%
200345
 
4.7%
201445
 
4.7%
200445
 
4.7%
200644
 
4.6%
Other values (22)436
45.9%
ValueCountFrequency (%)
19902
 
0.2%
19925
0.5%
19934
0.4%
19946
0.6%
19953
0.3%
ValueCountFrequency (%)
20222
 
0.2%
20215
 
0.5%
20202
 
0.2%
201915
1.6%
201822
2.3%

Ano_lectivo
Categorical

MISSING

Distinct18
Distinct (%)2.1%
Missing98
Missing (%)10.3%
Memory size7.5 KiB
2017/18
175 
2016/17
131 
2018/19
87 
2014/15
72 
2015/16
70 
Other values (13)
316 

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st row2008/09
2nd row2006/07
3rd row2009/10
4th row2006/07
5th row2006/07

Common Values

ValueCountFrequency (%)
2017/18175
18.4%
2016/17131
13.8%
2018/1987
9.2%
2014/1572
7.6%
2015/1670
 
7.4%
2013/1442
 
4.4%
2011/1240
 
4.2%
2012/1337
 
3.9%
2006/0736
 
3.8%
2009/1034
 
3.6%
Other values (8)127
13.4%
(Missing)98
10.3%

Apgar_1
Real number (ℝ≥0)

MISSING

Distinct10
Distinct (%)1.5%
Missing286
Missing (%)30.1%
Infinite0
Infinite (%)0.0%
Mean8.576168929
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:30:52.377630image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q19
median9
Q39
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.29716369
Coefficient of variation (CV)0.1512521151
Kurtosis7.104892172
Mean8.576168929
Median Absolute Deviation (MAD)0
Skewness-2.504728346
Sum5686
Variance1.682633639
MonotonicityNot monotonic
2022-12-16T17:30:52.473686image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
9460
48.5%
860
 
6.3%
1060
 
6.3%
730
 
3.2%
520
 
2.1%
617
 
1.8%
410
 
1.1%
33
 
0.3%
22
 
0.2%
11
 
0.1%
(Missing)286
30.1%
ValueCountFrequency (%)
11
 
0.1%
22
 
0.2%
33
 
0.3%
410
1.1%
520
2.1%
ValueCountFrequency (%)
1060
 
6.3%
9460
48.5%
860
 
6.3%
730
 
3.2%
617
 
1.8%

Apgar_5
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.6%
Missing84
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean9.821965318
Minimum6
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:30:52.575090image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile9
Q110
median10
Q310
95-th percentile10
Maximum10
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5320543029
Coefficient of variation (CV)0.05416984134
Kurtosis13.04313584
Mean9.821965318
Median Absolute Deviation (MAD)0
Skewness-3.469805706
Sum8496
Variance0.2830817812
MonotonicityNot monotonic
2022-12-16T17:30:52.679296image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
10758
79.9%
971
 
7.5%
826
 
2.7%
79
 
0.9%
61
 
0.1%
(Missing)84
 
8.9%
ValueCountFrequency (%)
61
 
0.1%
79
 
0.9%
826
 
2.7%
971
 
7.5%
10758
79.9%
ValueCountFrequency (%)
10758
79.9%
971
 
7.5%
826
 
2.7%
79
 
0.9%
61
 
0.1%

AplusB
Real number (ℝ≥0)

MISSING

Distinct26
Distinct (%)3.6%
Missing228
Missing (%)24.0%
Infinite0
Infinite (%)0.0%
Mean14.58252427
Minimum0
Maximum34
Zeros2
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:30:52.814204image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q111
median15
Q318
95-th percentile22
Maximum34
Range34
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.552066046
Coefficient of variation (CV)0.3121589898
Kurtosis-0.0670360194
Mean14.58252427
Median Absolute Deviation (MAD)3
Skewness-0.08736973645
Sum10514
Variance20.72130529
MonotonicityNot monotonic
2022-12-16T17:30:52.936388image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1261
 
6.4%
1457
 
6.0%
1956
 
5.9%
1653
 
5.6%
1351
 
5.4%
1150
 
5.3%
1550
 
5.3%
1749
 
5.2%
1848
 
5.1%
836
 
3.8%
Other values (16)210
22.1%
(Missing)228
24.0%
ValueCountFrequency (%)
02
0.2%
11
 
0.1%
23
0.3%
44
0.4%
54
0.4%
ValueCountFrequency (%)
341
 
0.1%
251
 
0.1%
244
 
0.4%
237
 
0.7%
2230
3.2%

Apoio
Categorical

MISSING

Distinct2
Distinct (%)0.3%
Missing169
Missing (%)17.8%
Memory size7.5 KiB
S
655 
N
125 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowS
2nd rowS
3rd rowN
4th rowS
5th rowN

Common Values

ValueCountFrequency (%)
S655
69.0%
N125
 
13.2%
(Missing)169
 
17.8%

Ari_WISCIII
Real number (ℝ≥0)

MISSING

Distinct18
Distinct (%)7.7%
Missing715
Missing (%)75.3%
Infinite0
Infinite (%)0.0%
Mean7.931623932
Minimum1
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:30:53.061189image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median8
Q311
95-th percentile15.35
Maximum19
Range18
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.317300253
Coefficient of variation (CV)0.5443147948
Kurtosis-0.3689181664
Mean7.931623932
Median Absolute Deviation (MAD)3
Skewness0.2662234252
Sum1856
Variance18.63908147
MonotonicityNot monotonic
2022-12-16T17:30:53.170153image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
831
 
3.3%
924
 
2.5%
623
 
2.4%
123
 
2.4%
719
 
2.0%
415
 
1.6%
1013
 
1.4%
1313
 
1.4%
1113
 
1.4%
310
 
1.1%
Other values (8)50
 
5.3%
(Missing)715
75.3%
ValueCountFrequency (%)
123
2.4%
28
 
0.8%
310
1.1%
415
1.6%
57
 
0.7%
ValueCountFrequency (%)
193
 
0.3%
183
 
0.3%
166
0.6%
154
 
0.4%
1410
1.1%

Ari_WPPSIR
Real number (ℝ≥0)

MISSING

Distinct9
Distinct (%)60.0%
Missing934
Missing (%)98.4%
Infinite0
Infinite (%)0.0%
Mean9.933333333
Minimum1
Maximum17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:30:53.284713image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.5
Q18
median10
Q312
95-th percentile17
Maximum17
Range16
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.233652031
Coefficient of variation (CV)0.4262065804
Kurtosis0.4183032898
Mean9.933333333
Median Absolute Deviation (MAD)2
Skewness-0.05735633874
Sum149
Variance17.92380952
MonotonicityNot monotonic
2022-12-16T17:30:53.396164image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
83
 
0.3%
102
 
0.2%
62
 
0.2%
112
 
0.2%
172
 
0.2%
91
 
0.1%
141
 
0.1%
11
 
0.1%
131
 
0.1%
(Missing)934
98.4%
ValueCountFrequency (%)
11
 
0.1%
62
0.2%
83
0.3%
91
 
0.1%
102
0.2%
ValueCountFrequency (%)
172
0.2%
141
0.1%
131
0.1%
112
0.2%
102
0.2%

Asperger
Categorical

MISSING

Distinct3
Distinct (%)0.6%
Missing410
Missing (%)43.2%
Memory size7.5 KiB
N
527 
S
 
8
±
 
4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowN
2nd rowN
3rd rowN
4th rowN
5th rowN

Common Values

ValueCountFrequency (%)
N527
55.5%
S8
 
0.8%
±4
 
0.4%
(Missing)410
43.2%

PMD_Delay
Categorical

MISSING

Distinct7
Distinct (%)0.8%
Missing36
Missing (%)3.8%
Memory size7.5 KiB
N
368 
S
282 
2A
259 
3 anos
 
1
3 Ano_x000B_
 
1
Other values (2)
 
2

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st rowS
2nd row2A
3rd rowS
4th rowS
5th rowS

Common Values

ValueCountFrequency (%)
N368
38.8%
S282
29.7%
2A259
27.3%
3 anos1
 
0.1%
3 Ano_x000B_1
 
0.1%
4 anos1
 
0.1%
3A1
 
0.1%
(Missing)36
 
3.8%

Audition
Categorical

MISSING

Distinct42
Distinct (%)4.7%
Missing50
Missing (%)5.3%
Memory size7.5 KiB
Normal- ORL
458 
Normal C
268 
Normal - ORL
60 
Normal
53 
PEA - normal
 
13
Other values (37)
47 

Unique

Unique29 ?
Unique (%)3.2%

Sample

1st rowNormal_x001D_Normal- ORL
2nd rowNormal C
3rd rowSurdez( especificar)_x001D_anormal- ORL
4th rowNormal- ORL
5th rowNormal- ORL

Common Values

ValueCountFrequency (%)
Normal- ORL458
48.3%
Normal C268
28.2%
Normal - ORL60
 
6.3%
Normal53
 
5.6%
PEA - normal13
 
1.4%
Normal ORL3
 
0.3%
Clinicamente normal3
 
0.3%
Normal_x001D_Normal- ORL2
 
0.2%
anormal- ORL2
 
0.2%
surdez ligeira transmissão-Eda2
 
0.2%
Other values (32)35
 
3.7%
(Missing)50
 
5.3%

Avô_e_Avó_com_psicopatologia_e_ou_P_DPM
Categorical

HIGH CARDINALITY
MISSING

Distinct73
Distinct (%)44.5%
Missing785
Missing (%)82.7%
Memory size7.5 KiB
Não
87 
Avó materna com depressão_x001D_Sim
 
3
Avó materna com depressão
 
3
Avó paterna com depressão_x001D_Sim
 
2
Sim_x001D_Avó paterna
 
1
Other values (68)
68 

Unique

Unique69 ?
Unique (%)42.1%

Sample

1st rowSim_x001D_Avó paterna
2nd rowAvó materna com depressão_x001D_Sim
3rd rowNão
4th rowNão
5th rowNão

Common Values

ValueCountFrequency (%)
Não87
 
9.2%
Avó materna com depressão_x001D_Sim3
 
0.3%
Avó materna com depressão3
 
0.3%
Avó paterna com depressão_x001D_Sim2
 
0.2%
Sim_x001D_Avó paterna 1
 
0.1%
Avô paterno dificil_x001D_Não1
 
0.1%
Avó paterna Depressão1
 
0.1%
Avó hipertiroidismo1
 
0.1%
Avô mat. faleceu com leucemia1
 
0.1%
Avó materna Parkinson1
 
0.1%
Other values (63)63
 
6.6%
(Missing)785
82.7%

Bcut-off_PEA
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.7%
Missing251
Missing (%)26.4%
Infinite0
Infinite (%)0.0%
Mean4.024355301
Minimum2
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:30:53.514816image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q14
median4
Q34
95-th percentile4
Maximum9
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3136903953
Coefficient of variation (CV)0.07794798716
Kurtosis140.2433386
Mean4.024355301
Median Absolute Deviation (MAD)0
Skewness10.62683317
Sum2809
Variance0.09840166411
MonotonicityNot monotonic
2022-12-16T17:30:53.612139image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4691
72.8%
74
 
0.4%
91
 
0.1%
61
 
0.1%
21
 
0.1%
(Missing)251
 
26.4%
ValueCountFrequency (%)
21
 
0.1%
4691
72.8%
61
 
0.1%
74
 
0.4%
91
 
0.1%
ValueCountFrequency (%)
91
 
0.1%
74
 
0.4%
61
 
0.1%
4691
72.8%
21
 
0.1%

Bcut-off_autismo
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)0.6%
Missing250
Missing (%)26.3%
Infinite0
Infinite (%)0.0%
Mean6.540772532
Minimum4
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:30:53.721732image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile6
Q16
median7
Q37
95-th percentile7
Maximum12
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5557565159
Coefficient of variation (CV)0.08496802375
Kurtosis12.37178939
Mean6.540772532
Median Absolute Deviation (MAD)0
Skewness0.9684930015
Sum4572
Variance0.3088653049
MonotonicityNot monotonic
2022-12-16T17:30:53.825203image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
7376
39.6%
6320
33.7%
42
 
0.2%
121
 
0.1%
(Missing)250
26.3%
ValueCountFrequency (%)
42
 
0.2%
6320
33.7%
7376
39.6%
121
 
0.1%
ValueCountFrequency (%)
121
 
0.1%
7376
39.6%
6320
33.7%
42
 
0.2%

CG_WISCIII
Real number (ℝ≥0)

MISSING

Distinct19
Distinct (%)8.0%
Missing711
Missing (%)74.9%
Infinite0
Infinite (%)0.0%
Mean8.970588235
Minimum1
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:30:53.948662image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q17
median9
Q312
95-th percentile15
Maximum19
Range18
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.979268065
Coefficient of variation (CV)0.4435905384
Kurtosis-0.3626335845
Mean8.970588235
Median Absolute Deviation (MAD)3
Skewness-0.2220347767
Sum2135
Variance15.83457434
MonotonicityNot monotonic
2022-12-16T17:30:54.061053image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
935
 
3.7%
824
 
2.5%
722
 
2.3%
1320
 
2.1%
1219
 
2.0%
618
 
1.9%
118
 
1.9%
1016
 
1.7%
1114
 
1.5%
1512
 
1.3%
Other values (9)40
 
4.2%
(Missing)711
74.9%
ValueCountFrequency (%)
118
1.9%
24
 
0.4%
33
 
0.3%
47
 
0.7%
57
 
0.7%
ValueCountFrequency (%)
191
 
0.1%
181
 
0.1%
171
 
0.1%
164
 
0.4%
1512
1.3%

CG_WPPSIR
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)42.9%
Missing935
Missing (%)98.5%
Infinite0
Infinite (%)0.0%
Mean12.28571429
Minimum9
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:30:54.175674image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile9
Q110.5
median13
Q313.75
95-th percentile15
Maximum15
Range6
Interquartile range (IQR)3.25

Descriptive statistics

Standard deviation2.054210364
Coefficient of variation (CV)0.1672031692
Kurtosis-0.9916770241
Mean12.28571429
Median Absolute Deviation (MAD)1
Skewness-0.4487734149
Sum172
Variance4.21978022
MonotonicityNot monotonic
2022-12-16T17:30:54.272710image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
134
 
0.4%
102
 
0.2%
152
 
0.2%
92
 
0.2%
142
 
0.2%
122
 
0.2%
(Missing)935
98.5%
ValueCountFrequency (%)
92
0.2%
102
0.2%
122
0.2%
134
0.4%
142
0.2%
ValueCountFrequency (%)
152
0.2%
142
0.2%
134
0.4%
122
0.2%
102
0.2%

CO_WISCIII
Real number (ℝ≥0)

MISSING

Distinct18
Distinct (%)7.6%
Missing712
Missing (%)75.0%
Infinite0
Infinite (%)0.0%
Mean8.945147679
Minimum1
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:30:54.390564image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q17
median9
Q311
95-th percentile14.2
Maximum18
Range17
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.565540656
Coefficient of variation (CV)0.3986005356
Kurtosis-0.3714609474
Mean8.945147679
Median Absolute Deviation (MAD)2
Skewness-0.236933651
Sum2120
Variance12.71308017
MonotonicityNot monotonic
2022-12-16T17:30:54.499480image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1133
 
3.5%
1031
 
3.3%
928
 
3.0%
1222
 
2.3%
718
 
1.9%
818
 
1.9%
415
 
1.6%
1311
 
1.2%
511
 
1.2%
210
 
1.1%
Other values (8)40
 
4.2%
(Missing)712
75.0%
ValueCountFrequency (%)
13
 
0.3%
210
1.1%
38
0.8%
415
1.6%
511
1.2%
ValueCountFrequency (%)
181
 
0.1%
172
 
0.2%
163
 
0.3%
156
0.6%
148
0.8%

CO_WPPSIR
Real number (ℝ≥0)

MISSING

Distinct9
Distinct (%)60.0%
Missing934
Missing (%)98.4%
Infinite0
Infinite (%)0.0%
Mean10.93333333
Minimum5
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:30:54.614385image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile7.1
Q19.5
median11
Q312.5
95-th percentile15.2
Maximum18
Range13
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.96326718
Coefficient of variation (CV)0.2710305348
Kurtosis1.879703834
Mean10.93333333
Median Absolute Deviation (MAD)2
Skewness0.4738198229
Sum164
Variance8.780952381
MonotonicityNot monotonic
2022-12-16T17:30:54.730467image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
103
 
0.3%
113
 
0.3%
92
 
0.2%
132
 
0.2%
51
 
0.1%
81
 
0.1%
121
 
0.1%
141
 
0.1%
181
 
0.1%
(Missing)934
98.4%
ValueCountFrequency (%)
51
 
0.1%
81
 
0.1%
92
0.2%
103
0.3%
113
0.3%
ValueCountFrequency (%)
181
 
0.1%
141
 
0.1%
132
0.2%
121
 
0.1%
113
0.3%

VABS_Aut
Real number (ℝ≥0)

MISSING

Distinct80
Distinct (%)12.3%
Missing301
Missing (%)31.7%
Infinite0
Infinite (%)0.0%
Mean60.60339506
Minimum20
Maximum111
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:30:54.875525image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile20
Q151
median63
Q374
95-th percentile87
Maximum111
Range91
Interquartile range (IQR)23

Descriptive statistics

Standard deviation19.22208418
Coefficient of variation (CV)0.3171783389
Kurtosis-0.2158151901
Mean60.60339506
Median Absolute Deviation (MAD)12
Skewness-0.5567128073
Sum39271
Variance369.4885201
MonotonicityNot monotonic
2022-12-16T17:30:55.033310image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2049
 
5.2%
6421
 
2.2%
6319
 
2.0%
6219
 
2.0%
7518
 
1.9%
6617
 
1.8%
7217
 
1.8%
5617
 
1.8%
6016
 
1.7%
5416
 
1.7%
Other values (70)439
46.3%
(Missing)301
31.7%
ValueCountFrequency (%)
2049
5.2%
222
 
0.2%
231
 
0.1%
243
 
0.3%
252
 
0.2%
ValueCountFrequency (%)
1111
0.1%
1021
0.1%
1011
0.1%
1001
0.1%
991
0.1%

VABS_Com
Real number (ℝ≥0)

MISSING

Distinct92
Distinct (%)14.2%
Missing301
Missing (%)31.7%
Infinite0
Infinite (%)0.0%
Mean63.57561728
Minimum20
Maximum121
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:30:55.361588image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile20
Q148
median64
Q380
95-th percentile96
Maximum121
Range101
Interquartile range (IQR)32

Descriptive statistics

Standard deviation21.99052398
Coefficient of variation (CV)0.3458955637
Kurtosis-0.5848738272
Mean63.57561728
Median Absolute Deviation (MAD)16
Skewness-0.1369570412
Sum41197
Variance483.5831449
MonotonicityNot monotonic
2022-12-16T17:30:55.523190image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2034
 
3.6%
6218
 
1.9%
7417
 
1.8%
7915
 
1.6%
8014
 
1.5%
6913
 
1.4%
8513
 
1.4%
8112
 
1.3%
7612
 
1.3%
5312
 
1.3%
Other values (82)488
51.4%
(Missing)301
31.7%
ValueCountFrequency (%)
2034
3.6%
213
 
0.3%
243
 
0.3%
252
 
0.2%
262
 
0.2%
ValueCountFrequency (%)
1211
0.1%
1182
0.2%
1141
0.1%
1131
0.1%
1121
0.1%

CP_Global_Vin
Real number (ℝ≥0)

MISSING

Distinct81
Distinct (%)12.5%
Missing303
Missing (%)31.9%
Infinite0
Infinite (%)0.0%
Mean59.55619195
Minimum7.3
Maximum110
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:30:55.684777image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum7.3
5-th percentile22.25
Q149
median61
Q373
95-th percentile87
Maximum110
Range102.7
Interquartile range (IQR)24

Descriptive statistics

Standard deviation18.29703455
Coefficient of variation (CV)0.3072230435
Kurtosis-0.2568518065
Mean59.55619195
Median Absolute Deviation (MAD)12
Skewness-0.3229868256
Sum38473.3
Variance334.7814732
MonotonicityNot monotonic
2022-12-16T17:30:55.839737image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2024
 
2.5%
5820
 
2.1%
7618
 
1.9%
5118
 
1.9%
6118
 
1.9%
7517
 
1.8%
4917
 
1.8%
6717
 
1.8%
7017
 
1.8%
7416
 
1.7%
Other values (71)464
48.9%
(Missing)303
31.9%
ValueCountFrequency (%)
7.31
 
0.1%
2024
2.5%
215
 
0.5%
223
 
0.3%
231
 
0.1%
ValueCountFrequency (%)
1101
0.1%
1081
0.1%
1031
0.1%
1021
0.1%
992
0.2%

CP_Motricidade_Vin
Real number (ℝ≥0)

MISSING

Distinct65
Distinct (%)30.4%
Missing735
Missing (%)77.4%
Infinite0
Infinite (%)0.0%
Mean76.21495327
Minimum36
Maximum124
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:30:56.001696image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum36
5-th percentile48.65
Q163
median76
Q389.75
95-th percentile104
Maximum124
Range88
Interquartile range (IQR)26.75

Descriptive statistics

Standard deviation17.20330137
Coefficient of variation (CV)0.2257208151
Kurtosis-0.679175831
Mean76.21495327
Median Absolute Deviation (MAD)13.5
Skewness0.0919282439
Sum16310
Variance295.9535782
MonotonicityNot monotonic
2022-12-16T17:30:56.158828image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
849
 
0.9%
658
 
0.8%
788
 
0.8%
827
 
0.7%
907
 
0.7%
607
 
0.7%
617
 
0.7%
647
 
0.7%
546
 
0.6%
876
 
0.6%
Other values (55)142
 
15.0%
(Missing)735
77.4%
ValueCountFrequency (%)
361
 
0.1%
411
 
0.1%
451
 
0.1%
464
0.4%
472
0.2%
ValueCountFrequency (%)
1241
 
0.1%
1111
 
0.1%
1103
0.3%
1091
 
0.1%
1073
0.3%

VABS_Soc
Real number (ℝ≥0)

MISSING

Distinct75
Distinct (%)11.5%
Missing299
Missing (%)31.5%
Infinite0
Infinite (%)0.0%
Mean66.17538462
Minimum20
Maximum110
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:30:56.324821image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile35.45
Q155
median67
Q378
95-th percentile94
Maximum110
Range90
Interquartile range (IQR)23

Descriptive statistics

Standard deviation17.23337528
Coefficient of variation (CV)0.2604197223
Kurtosis0.4439467048
Mean66.17538462
Median Absolute Deviation (MAD)11
Skewness-0.3937544033
Sum43014
Variance296.9892237
MonotonicityNot monotonic
2022-12-16T17:30:56.488508image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2021
 
2.2%
5221
 
2.2%
6821
 
2.2%
7120
 
2.1%
6720
 
2.1%
6619
 
2.0%
7819
 
2.0%
5818
 
1.9%
5118
 
1.9%
6417
 
1.8%
Other values (65)456
48.1%
(Missing)299
31.5%
ValueCountFrequency (%)
2021
2.2%
222
 
0.2%
242
 
0.2%
281
 
0.1%
314
 
0.4%
ValueCountFrequency (%)
1101
0.1%
1092
0.2%
1061
0.1%
1042
0.2%
1012
0.2%

Capacidade_Especial
Categorical

HIGH CARDINALITY
MISSING

Distinct70
Distinct (%)10.3%
Missing268
Missing (%)28.2%
Memory size7.5 KiB
Não
534 
Sim_x001D_hiperlexia
 
18
Sim_x001D_memória visual
 
10
Sim_x001D_Memória
 
9
Sim_x001D_memória visual_x001D_memória auditiva
 
8
Other values (65)
102 

Unique

Unique48 ?
Unique (%)7.0%

Sample

1st rowNão
2nd rowhiperlexia_x001D_Sim
3rd rowNão
4th rowNão
5th rowNão

Common Values

ValueCountFrequency (%)
Não534
56.3%
Sim_x001D_hiperlexia18
 
1.9%
Sim_x001D_memória visual10
 
1.1%
Sim_x001D_Memória9
 
0.9%
Sim_x001D_memória visual_x001D_memória auditiva8
 
0.8%
Sim8
 
0.8%
Sim_x001D_memória auditiva_x001D_memória visual6
 
0.6%
Sim_x001D_desenhos5
 
0.5%
memória visual4
 
0.4%
Sim_x001D_memória visual_x001D_hiperlexia3
 
0.3%
Other values (60)76
 
8.0%
(Missing)268
28.2%

Cariótipo
Categorical

MISSING

Distinct2
Distinct (%)0.2%
Missing100
Missing (%)10.5%
Memory size7.5 KiB
S
844 
N
 
5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowS
2nd rowS
3rd rowS
4th rowS
5th rowS

Common Values

ValueCountFrequency (%)
S844
88.9%
N5
 
0.5%
(Missing)100
 
10.5%

Karyotype_Result
Categorical

HIGH CARDINALITY
MISSING

Distinct210
Distinct (%)25.1%
Missing112
Missing (%)11.8%
Memory size7.5 KiB
Normal _x001D_FISH cr15-N
287 
Normal
129 
Array CGH- N (46,XY.arr(1-22,)x2,(XY)x1
57 
Array CGH FCT 2012
45 
Normal _x001D_MLPA cr15 - N
 
28
Other values (205)
291 

Unique

Unique179 ?
Unique (%)21.4%

Sample

1st rowNormal
2nd rowNormal
3rd rowNormal
4th rowCariótipo alterado_x001D_FISH cr15-N_x001D_CMV gain ANXA1
5th rowNormal

Common Values

ValueCountFrequency (%)
Normal _x001D_FISH cr15-N287
30.2%
Normal 129
13.6%
Array CGH- N (46,XY.arr(1-22,)x2,(XY)x157
 
6.0%
Array CGH FCT 201245
 
4.7%
Normal _x001D_MLPA cr15 - N28
 
3.0%
Cariótipo normal _x001D_Pack Autism kit P343 (ch15,16,22) e P245 (Microdeletion S) - N _x001D_Subtelomericas - N16
 
1.7%
Cariótipo normal _x001D_Array CGH- N (46,XY.arr(1-22,)x2,(XY)x19
 
0.9%
Cariótipo normal 9
 
0.9%
Array CGH_x001D_Cariótipo normal 8
 
0.8%
Array CGH- N (46,XX.arr(1-22,)x2(,XX)x16
 
0.6%
Other values (200)243
25.6%
(Missing)112
 
11.8%

Cb_WISCIII
Real number (ℝ≥0)

MISSING

Distinct19
Distinct (%)7.9%
Missing709
Missing (%)74.7%
Infinite0
Infinite (%)0.0%
Mean10.075
Minimum1
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:30:56.628710image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q17
median10
Q313
95-th percentile16
Maximum19
Range18
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.147212604
Coefficient of variation (CV)0.4116340054
Kurtosis-0.6043625319
Mean10.075
Median Absolute Deviation (MAD)3
Skewness-0.1558646727
Sum2418
Variance17.19937238
MonotonicityNot monotonic
2022-12-16T17:30:56.735827image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
723
 
2.4%
1222
 
2.3%
1021
 
2.2%
1321
 
2.2%
1419
 
2.0%
918
 
1.9%
817
 
1.8%
1117
 
1.8%
515
 
1.6%
1614
 
1.5%
Other values (9)53
 
5.6%
(Missing)709
74.7%
ValueCountFrequency (%)
15
 
0.5%
28
0.8%
32
 
0.2%
47
0.7%
515
1.6%
ValueCountFrequency (%)
193
 
0.3%
182
 
0.2%
176
0.6%
1614
1.5%
1510
1.1%

Cd_WISCIII
Real number (ℝ≥0)

MISSING

Distinct17
Distinct (%)7.1%
Missing711
Missing (%)74.9%
Infinite0
Infinite (%)0.0%
Mean6.495798319
Minimum1
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:30:56.853774image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median6.5
Q39
95-th percentile11.15
Maximum19
Range18
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.277268466
Coefficient of variation (CV)0.5045212775
Kurtosis0.3389423109
Mean6.495798319
Median Absolute Deviation (MAD)2.5
Skewness0.4379547458
Sum1546
Variance10.7404886
MonotonicityNot monotonic
2022-12-16T17:30:56.961889image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
731
 
3.3%
628
 
3.0%
826
 
2.7%
424
 
2.5%
1023
 
2.4%
321
 
2.2%
518
 
1.9%
916
 
1.7%
114
 
1.5%
214
 
1.5%
Other values (7)23
 
2.4%
(Missing)711
74.9%
ValueCountFrequency (%)
114
1.5%
214
1.5%
321
2.2%
424
2.5%
518
1.9%
ValueCountFrequency (%)
191
 
0.1%
171
 
0.1%
151
 
0.1%
143
0.3%
132
0.2%

Com_WISCIII
Real number (ℝ≥0)

MISSING

Distinct17
Distinct (%)7.3%
Missing717
Missing (%)75.6%
Infinite0
Infinite (%)0.0%
Mean5.625
Minimum0
Maximum17
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:30:57.085737image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median5
Q38
95-th percentile12
Maximum17
Range17
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.558037666
Coefficient of variation (CV)0.6325400296
Kurtosis-0.2956804852
Mean5.625
Median Absolute Deviation (MAD)3
Skewness0.5600549741
Sum1305
Variance12.65963203
MonotonicityNot monotonic
2022-12-16T17:30:57.200501image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
133
 
3.5%
528
 
3.0%
427
 
2.8%
222
 
2.3%
920
 
2.1%
820
 
2.1%
620
 
2.1%
316
 
1.7%
712
 
1.3%
1010
 
1.1%
Other values (7)24
 
2.5%
(Missing)717
75.6%
ValueCountFrequency (%)
01
 
0.1%
133
3.5%
222
2.3%
316
1.7%
427
2.8%
ValueCountFrequency (%)
171
 
0.1%
161
 
0.1%
142
 
0.2%
135
0.5%
128
0.8%

Com_WPPSIR
Real number (ℝ≥0)

MISSING

Distinct10
Distinct (%)66.7%
Missing934
Missing (%)98.4%
Infinite0
Infinite (%)0.0%
Mean5.733333333
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:30:57.329859image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13.5
median5
Q38
95-th percentile11.3
Maximum12
Range11
Interquartile range (IQR)4.5

Descriptive statistics

Standard deviation3.575045787
Coefficient of variation (CV)0.6235544978
Kurtosis-0.8908741694
Mean5.733333333
Median Absolute Deviation (MAD)3
Skewness0.2623205825
Sum86
Variance12.78095238
MonotonicityNot monotonic
2022-12-16T17:30:57.436113image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
13
 
0.3%
52
 
0.2%
42
 
0.2%
82
 
0.2%
121
 
0.1%
31
 
0.1%
71
 
0.1%
61
 
0.1%
111
 
0.1%
101
 
0.1%
(Missing)934
98.4%
ValueCountFrequency (%)
13
0.3%
31
 
0.1%
42
0.2%
52
0.2%
61
 
0.1%
ValueCountFrequency (%)
121
0.1%
111
0.1%
101
0.1%
82
0.2%
71
0.1%

Concelho
Categorical

HIGH CARDINALITY

Distinct239
Distinct (%)25.3%
Missing5
Missing (%)0.5%
Memory size7.5 KiB
Coimbra
 
59
Leiria
 
42
Barcelos
 
39
Viseu
 
39
Pombal
 
31
Other values (234)
734 

Unique

Unique106 ?
Unique (%)11.2%

Sample

1st rowVelas - Açores
2nd rowVila Conde
3rd rowPorto
4th rowPorto Mos
5th rowIlhavo

Common Values

ValueCountFrequency (%)
Coimbra59
 
6.2%
Leiria42
 
4.4%
Barcelos39
 
4.1%
Viseu39
 
4.1%
Pombal31
 
3.3%
Figueira da Foz29
 
3.1%
Aveiro22
 
2.3%
Caldas da Rainha17
 
1.8%
Marinha Grande17
 
1.8%
Lisboa16
 
1.7%
Other values (229)633
66.7%

Consanguinidade
Categorical

MISSING

Distinct17
Distinct (%)1.8%
Missing18
Missing (%)1.9%
Memory size7.5 KiB
Não
901 
Sim
 
7
Sim_x001D_1º grau
 
5
Sim_x001D_3º grau
 
2
4º grau
 
2
Other values (12)
 
14

Unique

Unique10 ?
Unique (%)1.1%

Sample

1st rowNão
2nd rowNão
3rd rowNão_x001D_4
4th rowNão
5th rowNão

Common Values

ValueCountFrequency (%)
Não901
94.9%
Sim7
 
0.7%
Sim_x001D_1º grau5
 
0.5%
Sim_x001D_3º grau2
 
0.2%
4º grau 2
 
0.2%
Não_x001D_Não2
 
0.2%
1º grau2
 
0.2%
2º grau_x001D_Sim1
 
0.1%
Não_x001D_41
 
0.1%
1º grau_x001D_Primos1
 
0.1%
Other values (7)7
 
0.7%
(Missing)18
 
1.9%

Controle_Esfincteres_Dia
Categorical

MISSING

Distinct44
Distinct (%)5.8%
Missing192
Missing (%)20.2%
Memory size7.5 KiB
36
266 
48
136 
24
99 
30
66 
60
57 
Other values (39)
133 

Unique

Unique22 ?
Unique (%)2.9%

Sample

1st row60
2nd row72
3rd row36
4th row72
5th row24

Common Values

ValueCountFrequency (%)
36266
28.0%
48136
14.3%
2499
 
10.4%
3066
 
7.0%
6057
 
6.0%
4239
 
4.1%
7221
 
2.2%
1815
 
1.6%
547
 
0.7%
405
 
0.5%
Other values (34)46
 
4.8%
(Missing)192
20.2%

Controle_Esfincteres_Noite
Categorical

MISSING

Distinct43
Distinct (%)6.6%
Missing302
Missing (%)31.8%
Memory size7.5 KiB
36
168 
48
139 
60
71 
24
54 
42
40 
Other values (38)
175 

Unique

Unique22 ?
Unique (%)3.4%

Sample

1st row60
2nd row72
3rd row36
4th row72
5th row24

Common Values

ValueCountFrequency (%)
36168
17.7%
48139
14.6%
6071
 
7.5%
2454
 
5.7%
4240
 
4.2%
3040
 
4.2%
7237
 
3.9%
8413
 
1.4%
9612
 
1.3%
5410
 
1.1%
Other values (33)63
 
6.6%
(Missing)302
31.8%

Currículo
Categorical

MISSING

Distinct22
Distinct (%)4.5%
Missing462
Missing (%)48.7%
Memory size7.5 KiB
Comum
217 
Currículo Específico Individual
128 
Funcional
39 
PEI
34 
Profissional
 
18
Other values (17)
51 

Unique

Unique11 ?
Unique (%)2.3%

Sample

1st rowAlternativo
2nd rowFuncional
3rd rowFuncional
4th rowFuncional
5th rowFuncional

Common Values

ValueCountFrequency (%)
Comum217
22.9%
Currículo Específico Individual128
 
13.5%
Funcional39
 
4.1%
PEI34
 
3.6%
Profissional18
 
1.9%
Alternativo14
 
1.5%
Normal10
 
1.1%
Adequações no processo de avaliação7
 
0.7%
Curso Profissional4
 
0.4%
Plano Educativo Individual3
 
0.3%
Other values (12)13
 
1.4%
(Missing)462
48.7%

D.R.E.
Categorical

MISSING

Distinct7
Distinct (%)1.0%
Missing243
Missing (%)25.6%
Memory size7.5 KiB
DREC
368 
DREL
147 
DREN
127 
AÇORES
 
23
DREAlentejo
 
20
Other values (2)
 
21

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowDREL
2nd rowDREN
3rd rowDREN
4th rowDREC
5th rowDREC

Common Values

ValueCountFrequency (%)
DREC368
38.8%
DREL147
 
15.5%
DREN127
 
13.4%
AÇORES23
 
2.4%
DREAlentejo20
 
2.1%
DREAlgarve16
 
1.7%
MADEIRA5
 
0.5%
(Missing)243
25.6%

DG_WISCIII
Real number (ℝ≥0)

MISSING

Distinct19
Distinct (%)8.0%
Missing711
Missing (%)74.9%
Infinite0
Infinite (%)0.0%
Mean8.273109244
Minimum1
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:30:57.556404image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median8
Q311
95-th percentile16
Maximum19
Range18
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.325007207
Coefficient of variation (CV)0.522778931
Kurtosis-0.2573151309
Mean8.273109244
Median Absolute Deviation (MAD)3
Skewness0.3722704887
Sum1969
Variance18.70568734
MonotonicityNot monotonic
2022-12-16T17:30:57.666632image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
829
 
3.1%
1025
 
2.6%
422
 
2.3%
921
 
2.2%
620
 
2.1%
1315
 
1.6%
714
 
1.5%
114
 
1.5%
312
 
1.3%
511
 
1.2%
Other values (9)55
 
5.8%
(Missing)711
74.9%
ValueCountFrequency (%)
114
1.5%
27
 
0.7%
312
1.3%
422
2.3%
511
1.2%
ValueCountFrequency (%)
196
0.6%
182
 
0.2%
172
 
0.2%
166
0.6%
155
0.5%

BD
Categorical

HIGH CARDINALITY

Distinct888
Distinct (%)93.6%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
2007-04-17 00:00:00
 
3
2000-01-10 00:00:00
 
2
2006-06-19 00:00:00
 
2
2002-05-02 00:00:00
 
2
2002-08-06 00:00:00
 
2
Other values (883)
938 

Unique

Unique828 ?
Unique (%)87.2%

Sample

1st row1991-07-16 00:00:00
2nd row1991-04-06 00:00:00
3rd row1992-04-14 00:00:00
4th row1991-06-06 00:00:00
5th row1992-09-28 00:00:00

Common Values

ValueCountFrequency (%)
2007-04-17 00:00:003
 
0.3%
2000-01-10 00:00:002
 
0.2%
2006-06-19 00:00:002
 
0.2%
2002-05-02 00:00:002
 
0.2%
2002-08-06 00:00:002
 
0.2%
1998-07-16 00:00:002
 
0.2%
2011-02-06 00:00:002
 
0.2%
2009-09-21 00:00:002
 
0.2%
2004-05-14 00:00:002
 
0.2%
1991.03.082
 
0.2%
Other values (878)928
97.8%

DSMIV
Categorical

MISSING

Distinct2
Distinct (%)0.3%
Missing243
Missing (%)25.6%
Memory size7.5 KiB
S
664 
N
 
42

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowS
2nd rowS
3rd rowS
4th rowS
5th rowS

Common Values

ValueCountFrequency (%)
S664
70.0%
N42
 
4.4%
(Missing)243
 
25.6%

DSMIV_A
Categorical

MISSING

Distinct24
Distinct (%)3.7%
Missing293
Missing (%)30.9%
Memory size7.5 KiB
1_x000B_2_x000B_3_x000B_4
322 
1_x000B_2
80 
1_x000B_2_x000B_3
78 
1_x000B_2_x000B_4
35 
2_x000B_3
 
28
Other values (19)
113 

Unique

Unique6 ?
Unique (%)0.9%

Sample

1st row1_x000B_2_x000B_3_x000B_4
2nd row1_x000B_2_x000B_3_x000B_4
3rd row1_x000B_2_x000B_3_x000B_4
4th row1_x000B_3_x000B_4
5th row1_x000B_2

Common Values

ValueCountFrequency (%)
1_x000B_2_x000B_3_x000B_4322
33.9%
1_x000B_280
 
8.4%
1_x000B_2_x000B_378
 
8.2%
1_x000B_2_x000B_435
 
3.7%
2_x000B_328
 
3.0%
1_x000B_3_x000B_426
 
2.7%
1_x000B_322
 
2.3%
2_x000B_3_x000B_416
 
1.7%
1_x000B_412
 
1.3%
25
 
0.5%
Other values (14)32
 
3.4%
(Missing)293
30.9%

DSMIV_B
Categorical

MISSING

Distinct31
Distinct (%)4.7%
Missing292
Missing (%)30.8%
Memory size7.5 KiB
1_x000B_4
197 
1_x000B_3_x000B_4
172 
1_x000B_3
51 
1_x000B_2_x000B_3_x000B_4
50 
2_x000B_3_x000B_4
36 
Other values (26)
151 

Unique

Unique12 ?
Unique (%)1.8%

Sample

1st row1_x000B_4
2nd row1_x000B_4
3rd row1_x000B_4
4th row1_x000B_2_x000B_3_x000B_4
5th row1_x000B_4

Common Values

ValueCountFrequency (%)
1_x000B_4197
20.8%
1_x000B_3_x000B_4172
18.1%
1_x000B_351
 
5.4%
1_x000B_2_x000B_3_x000B_450
 
5.3%
2_x000B_3_x000B_436
 
3.8%
1_x000B_2_x000B_326
 
2.7%
2_x000B_325
 
2.6%
2_x000B_418
 
1.9%
1_x000B_214
 
1.5%
1_x000B_2_x000B_413
 
1.4%
Other values (21)55
 
5.8%
(Missing)292
30.8%

DSMIV_C
Categorical

MISSING

Distinct31
Distinct (%)4.8%
Missing299
Missing (%)31.5%
Memory size7.5 KiB
1_x000B_3
173 
3
86 
2_x000B_3
54 
1_x000B_3_x000B_4
51 
1_x000B_2_x000B_3
46 
Other values (26)
240 

Unique

Unique13 ?
Unique (%)2.0%

Sample

1st row1_x000B_2_x000B_3_x000B_4
2nd row1_x000B_2_x000B_3_x000B_4
3rd row1_x000B_2_x000B_3_x000B_4
4th row1_x000B_3
5th row1_x000B_3_x000B_4

Common Values

ValueCountFrequency (%)
1_x000B_3173
18.2%
386
 
9.1%
2_x000B_354
 
5.7%
1_x000B_3_x000B_451
 
5.4%
1_x000B_2_x000B_346
 
4.8%
1_x000B_2_x000B_3_x000B_444
 
4.6%
3_x000B_442
 
4.4%
140
 
4.2%
1_x000B_428
 
3.0%
1_x000B_217
 
1.8%
Other values (21)69
 
7.3%
(Missing)299
31.5%

DSMIV_pré_fluox
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)100.0%
Missing948
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean10
Minimum10
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:30:57.785764image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile10
Q110
median10
Q310
95-th percentile10
Maximum10
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviationnan
Coefficient of variation (CV)nan
Kurtosisnan
Mean10
Median Absolute Deviation (MAD)0
Skewnessnan
Sum10
Variancenan
MonotonicityStrictly increasing
2022-12-16T17:30:57.878235image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
101
 
0.1%
(Missing)948
99.9%
ValueCountFrequency (%)
101
0.1%
ValueCountFrequency (%)
101
0.1%

DataQDQI
Categorical

HIGH CARDINALITY
MISSING

Distinct731
Distinct (%)88.1%
Missing119
Missing (%)12.5%
Memory size7.5 KiB
2001-06-20
 
5
2001-05-15
 
5
2008-11-11
 
3
2007-01-30
 
3
2006-11-21
 
3
Other values (726)
811 

Unique

Unique647 ?
Unique (%)78.0%

Sample

1st row1999-06-01
2nd row1999-02-08
3rd row1999-09-21
4th row1998-02-19
5th row2000-03-03

Common Values

ValueCountFrequency (%)
2001-06-205
 
0.5%
2001-05-155
 
0.5%
2008-11-113
 
0.3%
2007-01-303
 
0.3%
2006-11-213
 
0.3%
2001-09-123
 
0.3%
2012-01-033
 
0.3%
2002-01-183
 
0.3%
2001-12-123
 
0.3%
2004-03-263
 
0.3%
Other values (721)796
83.9%
(Missing)119
 
12.5%

DataVineabr
Categorical

HIGH CARDINALITY
MISSING

Distinct728
Distinct (%)84.1%
Missing83
Missing (%)8.7%
Memory size7.5 KiB
2001-05-15
 
4
2011-01-12
 
4
2016-02-15
 
4
2017-09-19
 
4
2014-07-09
 
4
Other values (723)
846 

Unique

Unique612 ?
Unique (%)70.7%

Sample

1st row2009-02-25
2nd row1999-02-08
3rd row2003-06-26
4th row2009-10-21
5th row2002-07-01

Common Values

ValueCountFrequency (%)
2001-05-154
 
0.4%
2011-01-124
 
0.4%
2016-02-154
 
0.4%
2017-09-194
 
0.4%
2014-07-094
 
0.4%
2016-02-013
 
0.3%
2013-02-183
 
0.3%
2014-04-223
 
0.3%
2014-02-113
 
0.3%
2010-09-213
 
0.3%
Other values (718)831
87.6%
(Missing)83
 
8.7%

Data_Reav_Griffiths
Categorical

HIGH CARDINALITY
MISSING

Distinct275
Distinct (%)93.5%
Missing655
Missing (%)69.0%
Memory size7.5 KiB
2010-03-30
 
3
2014-05-08
 
2
2012-04-04
 
2
2012-04-05
 
2
2012-11-12
 
2
Other values (270)
283 

Unique

Unique257 ?
Unique (%)87.4%

Sample

1st row2002-02-07
2nd row2004-05-11
3rd row2004-02-23
4th row2004-03-16
5th row2006-03-22

Common Values

ValueCountFrequency (%)
2010-03-303
 
0.3%
2014-05-082
 
0.2%
2012-04-042
 
0.2%
2012-04-052
 
0.2%
2012-11-122
 
0.2%
2015-09-292
 
0.2%
2013-01-222
 
0.2%
2013-06-122
 
0.2%
2013-06-182
 
0.2%
2013-12-102
 
0.2%
Other values (265)273
28.8%
(Missing)655
69.0%

Data_Reav_WISCIII
Categorical

MISSING

Distinct2
Distinct (%)100.0%
Missing947
Missing (%)99.8%
Memory size7.5 KiB
2014-02-24
2021-08-18

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row2014-02-24
2nd row2021-08-18

Common Values

ValueCountFrequency (%)
2014-02-241
 
0.1%
2021-08-181
 
0.1%
(Missing)947
99.8%

Observation_Date
Categorical

HIGH CARDINALITY
MISSING

Distinct806
Distinct (%)88.7%
Missing40
Missing (%)4.2%
Memory size7.5 KiB
2001-05-15 00:00:00
 
5
2006-09-05 00:00:00
 
4
2001-06-20 00:00:00
 
4
2001-09-12 00:00:00
 
3
2003-04-28 00:00:00
 
3
Other values (801)
890 

Unique

Unique717 ?
Unique (%)78.9%

Sample

1st row1999-06-01 00:00:00
2nd row1999-02-08 00:00:00
3rd row1999-09-21 00:00:00
4th row2002-06-04 00:00:00
5th row2000-03-03 00:00:00

Common Values

ValueCountFrequency (%)
2001-05-15 00:00:005
 
0.5%
2006-09-05 00:00:004
 
0.4%
2001-06-20 00:00:004
 
0.4%
2001-09-12 00:00:003
 
0.3%
2003-04-28 00:00:003
 
0.3%
2014-02-17 00:00:003
 
0.3%
2002-05-20 00:00:003
 
0.3%
2002-01-18 00:00:003
 
0.3%
2011-12-12 00:00:003
 
0.3%
2013-06-17 00:00:003
 
0.3%
Other values (796)875
92.2%
(Missing)40
 
4.2%

Diagnostico_qual
Categorical

MISSING

Distinct13
Distinct (%)23.6%
Missing894
Missing (%)94.2%
Memory size7.5 KiB
Autismo
35 
Atraso
Autismo_x001D_Atraso
Autismo_x001D_epilepsia
 
1
Atraso_x001D_Surdez
 
1
Other values (8)

Unique

Unique10 ?
Unique (%)18.2%

Sample

1st rowAutismo
2nd rowAutismo
3rd rowAutismo
4th rowAutismo
5th rowAutismo

Common Values

ValueCountFrequency (%)
Autismo35
 
3.7%
Atraso6
 
0.6%
Autismo_x001D_Atraso4
 
0.4%
Autismo_x001D_epilepsia1
 
0.1%
Atraso_x001D_Surdez1
 
0.1%
sobredotado1
 
0.1%
Atraso_x001D_DAMP1
 
0.1%
P linguagem1
 
0.1%
Atraso_x001D_Epilepsia1
 
0.1%
Asperger_x001D_Autismo1
 
0.1%
Other values (3)3
 
0.3%
(Missing)894
94.2%

Secondary_Diagnosis
Categorical

MISSING

Distinct26
Distinct (%)2.9%
Missing38
Missing (%)4.0%
Memory size7.5 KiB
Sem deficiênciamental (>70)
331 
DM ligeira (50-69)
186 
DM moderada (35-49)
105 
Sem deficiênciamental
87 
DM ligeira a moderada
56 
Other values (21)
146 

Unique

Unique12 ?
Unique (%)1.3%

Sample

1st rowDM severa a profunda
2nd rowDM severa a profunda (<34)
3rd rowDM severa a profunda
4th rowDM moderada (35-49)
5th rowDM severa a profunda

Common Values

ValueCountFrequency (%)
Sem deficiênciamental (>70)331
34.9%
DM ligeira (50-69)186
19.6%
DM moderada (35-49)105
 
11.1%
Sem deficiênciamental87
 
9.2%
DM ligeira a moderada56
 
5.9%
DM severa a profunda (<34)29
 
3.1%
DM severa a profunda26
 
2.7%
Sem deficiênciamental 21
 
2.2%
Nivel intelectual borderline16
 
1.7%
Défice Intelectual13
 
1.4%
Other values (16)41
 
4.3%
(Missing)38
 
4.0%

Clinical_Diagnosis
Categorical

MISSING

Distinct11
Distinct (%)17.5%
Missing886
Missing (%)93.4%
Memory size7.5 KiB
Asperger
33 
Epilepsia
12 
Evoluçãonãoautismo
Surdez
 
2
Perturbação tiques
 
2
Other values (6)
10 

Unique

Unique2 ?
Unique (%)3.2%

Sample

1st rowSurdez
2nd rowEpilepsia
3rd rowSurdez
4th rowAutismoatipico
5th rowEpilepsia

Common Values

ValueCountFrequency (%)
Asperger33
 
3.5%
Epilepsia12
 
1.3%
Evoluçãonãoautismo4
 
0.4%
Surdez2
 
0.2%
Perturbação tiques2
 
0.2%
Nãoautismo2
 
0.2%
Sem deficiênciamental (>70)2
 
0.2%
DM moderada (35-49)2
 
0.2%
DM ligeira (50-69)2
 
0.2%
Autismoatipico1
 
0.1%
(Missing)886
93.4%

Diagnóstico_clinico_4
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)100.0%
Missing948
Missing (%)99.9%
Memory size7.5 KiB
Atraso linguagem expressiva

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowAtraso linguagem expressiva

Common Values

ValueCountFrequency (%)
Atraso linguagem expressiva1
 
0.1%
(Missing)948
99.9%

Diagnóstico_clinico_4_Copy
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)16.7%
Missing943
Missing (%)99.4%
Memory size7.5 KiB
Macrocefalia

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMacrocefalia
2nd rowMacrocefalia
3rd rowMacrocefalia
4th rowMacrocefalia
5th rowMacrocefalia

Common Values

ValueCountFrequency (%)
Macrocefalia 6
 
0.6%
(Missing)943
99.4%
Distinct19
Distinct (%)10.9%
Missing774
Missing (%)81.6%
Memory size7.5 KiB
CNV
90 
Mutação gene
18 
D metabólica
14 
CNV
10 
Cromossomopatia
 
9
Other values (14)
34 

Unique

Unique9 ?
Unique (%)5.1%

Sample

1st rowD metabólica
2nd rowD metabólica
3rd rowD metabólica CNV gain
4th rowD metabólica
5th rowCNV

Common Values

ValueCountFrequency (%)
CNV90
 
9.5%
Mutação gene18
 
1.9%
D metabólica14
 
1.5%
CNV 10
 
1.1%
Cromossomopatia9
 
0.9%
CNV 7
 
0.7%
Prematuridade inf 1500 gramas6
 
0.6%
CNVs5
 
0.5%
Duplicação gene5
 
0.5%
S Dismórfico, genético X2
 
0.2%
Other values (9)9
 
0.9%
(Missing)774
81.6%
Distinct50
Distinct (%)32.9%
Missing797
Missing (%)84.0%
Memory size7.5 KiB
CNV Loss
40 
CNV Gain
34 
mitocondrial definitiva
Síndrome X Frágil
ATRXdupXq21.1
 
5
Other values (45)
57 

Unique

Unique38 ?
Unique (%)25.0%

Sample

1st rowmitocondrial provavel
2nd rowmitocondrial possivel
3rd rowmitocondrial possive ANXA1
4th rowmitocondrial definitiva
5th rowmitocondrial possivel

Common Values

ValueCountFrequency (%)
CNV Loss40
 
4.2%
CNV Gain34
 
3.6%
mitocondrial definitiva9
 
0.9%
Síndrome X Frágil7
 
0.7%
ATRXdupXq21.15
 
0.5%
CNV gain5
 
0.5%
NRXN13
 
0.3%
mitocondrial possivel3
 
0.3%
CNV loss2
 
0.2%
KCNQ3-mutation 2
 
0.2%
Other values (40)42
 
4.4%
(Missing)797
84.0%

Diagnóstico_etiológico_3
Categorical

HIGH CARDINALITY
MISSING

Distinct85
Distinct (%)91.4%
Missing856
Missing (%)90.2%
Memory size7.5 KiB
significado clinico incerto
 
6
9q21.13 ANXA1
 
3
significado clinico desconhecido
 
2
dup8(q22.1q22.2) x2; 98,883,135-99,078,510); 195 Kb; genes OMIM ID: MATN2-602108, RPL30) IIIA
 
1
13(q12.11)(20,246,074-20,482,767)x2, 236Kb, 3 genes, 2 OMIM-MPHOSPH8 , PSPC1), classe IIIA
 
1
Other values (80)
80 

Unique

Unique82 ?
Unique (%)88.2%

Sample

1st row5q23.1mother
2nd row2p16.3
3rd rowarr 15q26.1(91200007-91283004)_x000B_x 1 de novo
4th row16p12.1
5th rowarraymlpa15q13.2-15q13.3

Common Values

ValueCountFrequency (%)
significado clinico incerto6
 
0.6%
9q21.13 ANXA1 3
 
0.3%
significado clinico desconhecido2
 
0.2%
dup8(q22.1q22.2) x2; 98,883,135-99,078,510); 195 Kb; genes OMIM ID: MATN2-602108, RPL30) IIIA1
 
0.1%
13(q12.11)(20,246,074-20,482,767)x2, 236Kb, 3 genes, 2 OMIM-MPHOSPH8 , PSPC1), classe IIIA1
 
0.1%
10q11.22q11.23(49,390,075-52,432,990)x3; 3Mb; 33 genes, 14 OMIM_x000B_(613323-frmpd2, 601158-mapk8, 610585-arhgap22,613316-wdfy4,606701-drgx,609413-ercc6,118490-chat,60336-slc18a3,603501-parg, 157145-msmb, 601984-ncoa4,605034-timm23,611202-asah2,611573-sgms1) e 4 genes OMIM Morbid map (609413-ercc6, 118490-chat,157145-msmb, 601984-ncoa4), CLASSE II_x000B_1
 
0.1%
Xp21.2(30,875,237-31,069,736)x2, 194kb, gene TAB3 (OMIM ID-300480)_x000B_mat1
 
0.1%
9p24.3, 204 104-459076)x3; 254Kb, 2 genea, 1 OMIM Mornid Map-611432-DOCK8_x000B_Classe III A,1
 
0.1%
2 triplicações 10(q21.1 e 22q11.22 significado clinico desconhecido pat1
 
0.1%
significado clinico desconhecido 1
 
0.1%
Other values (75)75
 
7.9%
(Missing)856
90.2%

Main_Diagnosis
Categorical

Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
Autismo1
816 
Autismoatipico
116 
Autismoduvidoso
 
12
Evoluçãonãoautismo
 
2
Problemas Comportamento
 
2

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowAutismo1
2nd rowAutismo1
3rd rowAutismo1
4th rowAutismo1
5th rowAutismo1

Common Values

ValueCountFrequency (%)
Autismo1816
86.0%
Autismoatipico116
 
12.2%
Autismoduvidoso12
 
1.3%
Evoluçãonãoautismo2
 
0.2%
Problemas Comportamento2
 
0.2%
Autismo1
 
0.1%

Dysmorphysm
Categorical

MISSING

Distinct2
Distinct (%)0.2%
Missing56
Missing (%)5.9%
Memory size7.5 KiB
N
809 
S
84 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowN
2nd rowN
3rd rowN
4th rowN
5th rowS

Common Values

ValueCountFrequency (%)
N809
85.2%
S84
 
8.9%
(Missing)56
 
5.9%

Dismorfismos_Especificar
Categorical

HIGH CARDINALITY
MISSING

Distinct64
Distinct (%)59.3%
Missing841
Missing (%)88.6%
Memory size7.5 KiB
Não
14 
Macrocefalia
14 
obesidade
 
5
Sinais minor_x001D_orelhas
 
3
Sinais minor
 
3
Other values (59)
69 

Unique

Unique50 ?
Unique (%)46.3%

Sample

1st rowNão
2nd rowHirsutismo_x001D_facies grosseiro_x001D_Sinais minor
3rd row Macrocefalia_x001D_obesidade
4th row Macrocefalia
5th rowPalato alto_x001D_Clinodactilia

Common Values

ValueCountFrequency (%)
Não14
 
1.5%
Macrocefalia14
 
1.5%
obesidade5
 
0.5%
Sinais minor_x001D_orelhas3
 
0.3%
Sinais minor3
 
0.3%
Obesidade3
 
0.3%
Sinais minor_x001D_Sinofris2
 
0.2%
Sinais minor_x001D_ Macrocefalia2
 
0.2%
Sinofris_x001D_Sinais minor2
 
0.2%
orelhas em abano2
 
0.2%
Other values (54)58
 
6.1%
(Missing)841
88.6%

Distrito
Categorical

Distinct39
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
Coimbra
164 
Leiria
157 
Aveiro
98 
Viseu
91 
Braga
68 
Other values (34)
371 

Unique

Unique13 ?
Unique (%)1.4%

Sample

1st rowIlha de São Jorge - Açores
2nd rowPorto
3rd rowPorto
4th rowLeiria
5th rowAveiro

Common Values

ValueCountFrequency (%)
Coimbra164
17.3%
Leiria157
16.5%
Aveiro98
10.3%
Viseu91
9.6%
Braga68
 
7.2%
Santarém56
 
5.9%
Lisboa53
 
5.6%
Castelo Branco38
 
4.0%
Santarem28
 
3.0%
Porto26
 
2.7%
Other values (29)170
17.9%
Distinct28
Distinct (%)3.0%
Missing7
Missing (%)0.7%
Memory size7.5 KiB
Desconhecido
689 
Sim
127 
Não
 
37
Desconhecido_x001D__x001D_Invest Completa
 
33
Duvidoso
 
21
Other values (23)
 
35

Unique

Unique18 ?
Unique (%)1.9%

Sample

1st rowSim_x001D__x001D_mitocondrial provavel
2nd rowDesconhecido_x001D__x001D_Invest Completa
3rd rowSim
4th rowSim_x001D__x001D_CNV Gain 9q21.13 ANXA1
5th rowDesconhecido

Common Values

ValueCountFrequency (%)
Desconhecido689
72.6%
Sim127
 
13.4%
Não37
 
3.9%
Desconhecido_x001D__x001D_Invest Completa33
 
3.5%
Duvidoso21
 
2.2%
Sim_x001D__x001D_Sim7
 
0.7%
Não investigado3
 
0.3%
Sim_x001D__x001D_CNV Gain 9q21.13 ANXA1 3
 
0.3%
Sim_x001D__x001D_CNV Loss 3q11.22
 
0.2%
Sim_x001D__x001D_Invest Completa/ estudo genético2
 
0.2%
Other values (18)18
 
1.9%
(Missing)7
 
0.7%

Doença_Autista
Categorical

MISSING

Distinct3
Distinct (%)0.5%
Missing323
Missing (%)34.0%
Memory size7.5 KiB
S
589 
N
 
34
±
 
3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowS
2nd rowS
3rd rowS
4th rowS
5th rowS

Common Values

ValueCountFrequency (%)
S589
62.1%
N34
 
3.6%
±3
 
0.3%
(Missing)323
34.0%

Doença_Autista_Nº
Real number (ℝ≥0)

MISSING

Distinct11
Distinct (%)1.8%
Missing322
Missing (%)33.9%
Infinite0
Infinite (%)0.0%
Mean7.784688995
Minimum2
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:30:58.003197image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5
Q17
median8
Q39
95-th percentile10
Maximum12
Range10
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.602679971
Coefficient of variation (CV)0.2058759152
Kurtosis0.07126278167
Mean7.784688995
Median Absolute Deviation (MAD)1
Skewness-0.152649991
Sum4881
Variance2.56858309
MonotonicityNot monotonic
2022-12-16T17:30:58.114087image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
8139
14.6%
9137
14.4%
7126
 
13.3%
6107
 
11.3%
1061
 
6.4%
521
 
2.2%
1117
 
1.8%
49
 
0.9%
125
 
0.5%
34
 
0.4%
(Missing)322
33.9%
ValueCountFrequency (%)
21
 
0.1%
34
 
0.4%
49
 
0.9%
521
 
2.2%
6107
11.3%
ValueCountFrequency (%)
125
 
0.5%
1117
 
1.8%
1061
6.4%
9137
14.4%
8139
14.6%

Doenças
Categorical

HIGH CARDINALITY

Distinct129
Distinct (%)13.7%
Missing8
Missing (%)0.8%
Memory size7.5 KiB
Não
712 
Sim_x001D_Convulsões/ Epilepsia
 
32
Sim_x001D_Infecção ORL repetidas
 
18
Sim_x001D_Asma
 
14
Sim_x001D_Otites de repetição
 
7
Other values (124)
158 

Unique

Unique108 ?
Unique (%)11.5%

Sample

1st rowNão
2nd rowNão
3rd rowNão
4th rowInfecção ORL repetidas_x001D_Sim_x001D_outras
5th rowSim_x001D_Convulsões/ Epilepsia

Common Values

ValueCountFrequency (%)
Não712
75.0%
Sim_x001D_Convulsões/ Epilepsia32
 
3.4%
Sim_x001D_Infecção ORL repetidas18
 
1.9%
Sim_x001D_Asma14
 
1.5%
Sim_x001D_Otites de repetição7
 
0.7%
Infecção ORL repetidas_x001D_Sim6
 
0.6%
Sim_x001D_Infecção ORL repetidas_x001D_outras5
 
0.5%
Sim5
 
0.5%
Sim_x001D_Convulsões febris4
 
0.4%
Asma_x001D_Sim4
 
0.4%
Other values (119)134
 
14.1%
(Missing)8
 
0.8%

Drogas
Categorical

MISSING

Distinct2
Distinct (%)0.2%
Missing35
Missing (%)3.7%
Memory size7.5 KiB
N
911 
S
 
3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowN
2nd rowN
3rd rowS
4th rowN
5th rowN

Common Values

ValueCountFrequency (%)
N911
96.0%
S3
 
0.3%
(Missing)35
 
3.7%

EEG_resultado
Categorical

MISSING

Distinct47
Distinct (%)27.5%
Missing778
Missing (%)82.0%
Memory size7.5 KiB
Normal
113 
Alterado
 
10
Foco paroxistico_x001D_Alterado
 
2
Alterado_x001D_Paroxismos irritativos
 
2
Alterado_x001D_Disturbio cerebral generalizado paroxistico
 
2
Other values (42)
42 

Unique

Unique42 ?
Unique (%)24.6%

Sample

1st rowNormal
2nd rowNormal
3rd rowNormal
4th rowAlterado_x001D_Foco paroxistico
5th rowNormal

Common Values

ValueCountFrequency (%)
Normal113
 
11.9%
Alterado10
 
1.1%
Foco paroxistico_x001D_Alterado2
 
0.2%
Alterado_x001D_Paroxismos irritativos2
 
0.2%
Alterado_x001D_Disturbio cerebral generalizado paroxistico2
 
0.2%
Alterado_x001D_Teve hipssaritmia1
 
0.1%
Aos 2, 5 anos (França)1
 
0.1%
Alterado_x001D_ EEG compativel com epilepsia beninga de pontas centrotemporais dta._x000B_1
 
0.1%
Hospital D. Estefânia1
 
0.1%
actividade paroxística focal, com predominio frontal direito1
 
0.1%
Other values (37)37
 
3.9%
(Missing)778
82.0%

EN_Preferencia_mão
Categorical

MISSING

Distinct4
Distinct (%)0.5%
Missing180
Missing (%)19.0%
Memory size7.5 KiB
Dta
581 
Ind
117 
Esq
70 
??
 
1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowDta
2nd rowInd
3rd rowEsq
4th rowDta
5th rowInd

Common Values

ValueCountFrequency (%)
Dta581
61.2%
Ind117
 
12.3%
Esq70
 
7.4%
??1
 
0.1%
(Missing)180
 
19.0%

Est
Categorical

HIGH CARDINALITY
MISSING

Distinct89
Distinct (%)10.4%
Missing91
Missing (%)9.6%
Memory size7.5 KiB
50
124 
49
118 
48
85 
51
78 
49.5
44 
Other values (84)
409 

Unique

Unique54 ?
Unique (%)6.3%

Sample

1st row?
2nd row48
3rd row90 53
4th row10-2546.5
5th row75- 49

Common Values

ValueCountFrequency (%)
50124
13.1%
49118
12.4%
4885
 
9.0%
5178
 
8.2%
49.544
 
4.6%
50.543
 
4.5%
5240
 
4.2%
48.537
 
3.9%
47.531
 
3.3%
4730
 
3.2%
Other values (79)228
24.0%
(Missing)91
 
9.6%

Est.12M
Real number (ℝ≥0)

MISSING

Distinct31
Distinct (%)41.3%
Missing874
Missing (%)92.1%
Infinite0
Infinite (%)0.0%
Mean76.176
Minimum59.5
Maximum83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:30:58.246348image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum59.5
5-th percentile72
Q174.5
median76
Q378.2
95-th percentile80.5
Maximum83
Range23.5
Interquartile range (IQR)3.7

Descriptive statistics

Standard deviation3.262350338
Coefficient of variation (CV)0.04282648522
Kurtosis8.053656492
Mean76.176
Median Absolute Deviation (MAD)2
Skewness-1.703404163
Sum5713.2
Variance10.64292973
MonotonicityNot monotonic
2022-12-16T17:30:58.376744image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
779
 
0.9%
746
 
0.6%
756
 
0.6%
785
 
0.5%
765
 
0.5%
724
 
0.4%
78.54
 
0.4%
733
 
0.3%
75.53
 
0.3%
74.53
 
0.3%
Other values (21)27
 
2.8%
(Missing)874
92.1%
ValueCountFrequency (%)
59.51
 
0.1%
70.51
 
0.1%
711
 
0.1%
724
0.4%
733
0.3%
ValueCountFrequency (%)
831
0.1%
812
0.2%
80.52
0.2%
80.41
0.1%
802
0.2%

Est.15M
Real number (ℝ≥0)

MISSING

Distinct24
Distinct (%)34.3%
Missing879
Missing (%)92.6%
Infinite0
Infinite (%)0.0%
Mean79.55857143
Minimum64.5
Maximum86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:30:58.505966image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum64.5
5-th percentile76
Q178
median79.5
Q382
95-th percentile83.775
Maximum86
Range21.5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.148060956
Coefficient of variation (CV)0.03956909859
Kurtosis6.395186828
Mean79.55857143
Median Absolute Deviation (MAD)2.25
Skewness-1.486063813
Sum5569.1
Variance9.910287785
MonotonicityNot monotonic
2022-12-16T17:30:58.806188image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
8210
 
1.1%
78.56
 
0.6%
785
 
0.5%
775
 
0.5%
805
 
0.5%
76.54
 
0.4%
79.54
 
0.4%
794
 
0.4%
814
 
0.4%
833
 
0.3%
Other values (14)20
 
2.1%
(Missing)879
92.6%
ValueCountFrequency (%)
64.51
 
0.1%
731
 
0.1%
751
 
0.1%
762
0.2%
76.54
0.4%
ValueCountFrequency (%)
861
 
0.1%
84.51
 
0.1%
842
0.2%
83.52
0.2%
833
0.3%

Est.18M
Real number (ℝ≥0)

MISSING

Distinct25
Distinct (%)34.2%
Missing876
Missing (%)92.3%
Infinite0
Infinite (%)0.0%
Mean82.74109589
Minimum71
Maximum88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:30:58.926615image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum71
5-th percentile78
Q181
median83
Q384.7
95-th percentile87
Maximum88
Range17
Interquartile range (IQR)3.7

Descriptive statistics

Standard deviation3.134212448
Coefficient of variation (CV)0.03787975509
Kurtosis1.711521622
Mean82.74109589
Median Absolute Deviation (MAD)2
Skewness-0.7993384141
Sum6040.1
Variance9.823287671
MonotonicityNot monotonic
2022-12-16T17:30:59.043176image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
847
 
0.7%
837
 
0.7%
816
 
0.6%
806
 
0.6%
865
 
0.5%
824
 
0.4%
874
 
0.4%
793
 
0.3%
81.53
 
0.3%
83.53
 
0.3%
Other values (15)25
 
2.6%
(Missing)876
92.3%
ValueCountFrequency (%)
711
 
0.1%
751
 
0.1%
76.81
 
0.1%
782
0.2%
793
0.3%
ValueCountFrequency (%)
883
0.3%
874
0.4%
86.61
 
0.1%
86.52
 
0.2%
865
0.5%

Est.24M
Real number (ℝ≥0)

MISSING

Distinct27
Distinct (%)35.5%
Missing873
Missing (%)92.0%
Infinite0
Infinite (%)0.0%
Mean88.27763158
Minimum75
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:30:59.173624image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum75
5-th percentile83.375
Q186.375
median88.25
Q390
95-th percentile93.25
Maximum99
Range24
Interquartile range (IQR)3.625

Descriptive statistics

Standard deviation3.525056924
Coefficient of variation (CV)0.03993148503
Kurtosis2.386444318
Mean88.27763158
Median Absolute Deviation (MAD)1.75
Skewness-0.4239471942
Sum6709.1
Variance12.42602632
MonotonicityNot monotonic
2022-12-16T17:30:59.313213image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
8810
 
1.1%
909
 
0.9%
926
 
0.6%
875
 
0.5%
895
 
0.5%
865
 
0.5%
844
 
0.4%
88.54
 
0.4%
853
 
0.3%
943
 
0.3%
Other values (17)22
 
2.3%
(Missing)873
92.0%
ValueCountFrequency (%)
751
0.1%
811
0.1%
81.81
0.1%
831
0.1%
83.52
0.2%
ValueCountFrequency (%)
991
 
0.1%
943
0.3%
933
0.3%
926
0.6%
91.51
 
0.1%

Est.2M
Real number (ℝ≥0)

MISSING

Distinct26
Distinct (%)33.3%
Missing871
Missing (%)91.8%
Infinite0
Infinite (%)0.0%
Mean56.55512821
Minimum35
Maximum63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:30:59.443656image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum35
5-th percentile52.2
Q155
median57
Q359
95-th percentile60.075
Maximum63
Range28
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.596089053
Coefficient of variation (CV)0.06358555213
Kurtosis15.9760788
Mean56.55512821
Median Absolute Deviation (MAD)2
Skewness-2.928620491
Sum4411.3
Variance12.93185648
MonotonicityNot monotonic
2022-12-16T17:30:59.561681image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
5611
 
1.2%
599
 
0.9%
587
 
0.7%
556
 
0.6%
606
 
0.6%
576
 
0.6%
534
 
0.4%
57.54
 
0.4%
55.52
 
0.2%
50.52
 
0.2%
Other values (16)21
 
2.2%
(Missing)871
91.8%
ValueCountFrequency (%)
351
 
0.1%
491
 
0.1%
50.52
0.2%
52.51
 
0.1%
534
0.4%
ValueCountFrequency (%)
631
 
0.1%
621
 
0.1%
60.52
 
0.2%
606
0.6%
59.52
 
0.2%

Est.36M
Real number (ℝ≥0)

MISSING

Distinct28
Distinct (%)37.3%
Missing874
Missing (%)92.1%
Infinite0
Infinite (%)0.0%
Mean97.27866667
Minimum83
Maximum105
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:30:59.694906image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum83
5-th percentile90.5
Q195
median97.5
Q3100
95-th percentile104
Maximum105
Range22
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.127766667
Coefficient of variation (CV)0.04243239354
Kurtosis1.198187062
Mean97.27866667
Median Absolute Deviation (MAD)2.5
Skewness-0.6739413868
Sum7295.9
Variance17.03845766
MonotonicityNot monotonic
2022-12-16T17:30:59.814888image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
1007
 
0.7%
977
 
0.7%
996
 
0.6%
946
 
0.6%
985
 
0.5%
1015
 
0.5%
954
 
0.4%
964
 
0.4%
97.53
 
0.3%
1043
 
0.3%
Other values (18)25
 
2.6%
(Missing)874
92.1%
ValueCountFrequency (%)
831
0.1%
86.51
0.1%
901
0.1%
90.52
0.2%
911
0.1%
ValueCountFrequency (%)
1052
0.2%
1043
0.3%
1032
0.2%
102.51
 
0.1%
1021
 
0.1%

Est.4M
Real number (ℝ≥0)

MISSING

Distinct29
Distinct (%)38.2%
Missing873
Missing (%)92.0%
Infinite0
Infinite (%)0.0%
Mean63.08815789
Minimum45
Maximum68.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:30:59.936431image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum45
5-th percentile58.6
Q161
median64
Q365
95-th percentile67.125
Maximum68.4
Range23.4
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.404975462
Coefficient of variation (CV)0.05397170523
Kurtosis9.524453671
Mean63.08815789
Median Absolute Deviation (MAD)2
Skewness-2.156363079
Sum4794.7
Variance11.59385789
MonotonicityNot monotonic
2022-12-16T17:31:00.067523image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
658
 
0.8%
647
 
0.7%
64.57
 
0.7%
616
 
0.6%
666
 
0.6%
62.55
 
0.5%
604
 
0.4%
634
 
0.4%
623
 
0.3%
673
 
0.3%
Other values (19)23
 
2.4%
(Missing)873
92.0%
ValueCountFrequency (%)
451
0.1%
55.31
0.1%
57.51
0.1%
581
0.1%
58.81
0.1%
ValueCountFrequency (%)
68.41
 
0.1%
681
 
0.1%
67.52
0.2%
673
0.3%
66.91
 
0.1%

Est.6M
Real number (ℝ≥0)

MISSING

Distinct27
Distinct (%)35.1%
Missing872
Missing (%)91.9%
Infinite0
Infinite (%)0.0%
Mean67.63636364
Minimum50.5
Maximum75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:00.198527image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum50.5
5-th percentile62.9
Q166
median68
Q370
95-th percentile71.1
Maximum75
Range24.5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.185696201
Coefficient of variation (CV)0.04710034706
Kurtosis10.03490274
Mean67.63636364
Median Absolute Deviation (MAD)2
Skewness-2.065888359
Sum5208
Variance10.14866029
MonotonicityNot monotonic
2022-12-16T17:31:00.331521image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
6811
 
1.2%
709
 
0.9%
678
 
0.8%
667
 
0.7%
697
 
0.7%
70.55
 
0.5%
64.53
 
0.3%
69.53
 
0.3%
62.53
 
0.3%
632
 
0.2%
Other values (17)19
 
2.0%
(Missing)872
91.9%
ValueCountFrequency (%)
50.51
 
0.1%
62.53
0.3%
632
0.2%
63.51
 
0.1%
63.81
 
0.1%
ValueCountFrequency (%)
751
0.1%
72.51
0.1%
721
0.1%
71.51
0.1%
711
0.1%

Est.9M
Real number (ℝ≥0)

MISSING

Distinct26
Distinct (%)35.1%
Missing875
Missing (%)92.2%
Infinite0
Infinite (%)0.0%
Mean72.26216216
Minimum66
Maximum78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:00.460595image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum66
5-th percentile68.325
Q170.625
median72.15
Q374
95-th percentile76
Maximum78
Range12
Interquartile range (IQR)3.375

Descriptive statistics

Standard deviation2.520040373
Coefficient of variation (CV)0.0348735811
Kurtosis-0.2621465877
Mean72.26216216
Median Absolute Deviation (MAD)1.85
Skewness-0.1584285109
Sum5347.4
Variance6.35060348
MonotonicityNot monotonic
2022-12-16T17:31:00.596004image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
757
 
0.7%
726
 
0.6%
736
 
0.6%
716
 
0.6%
705
 
0.5%
72.55
 
0.5%
744
 
0.4%
71.54
 
0.4%
69.53
 
0.3%
73.53
 
0.3%
Other values (16)25
 
2.6%
(Missing)875
92.2%
ValueCountFrequency (%)
661
0.1%
66.51
0.1%
671
0.1%
681
0.1%
68.51
0.1%
ValueCountFrequency (%)
781
 
0.1%
76.52
 
0.2%
763
0.3%
75.53
0.3%
757
0.7%

Est._P
Categorical

HIGH CARDINALITY
MISSING

Distinct233
Distinct (%)27.2%
Missing92
Missing (%)9.7%
Memory size7.5 KiB
50
 
38
75
 
35
100
 
31
95
 
31
90
 
22
Other values (228)
700 

Unique

Unique105 ?
Unique (%)12.3%

Sample

1st row> 95
2nd rowP75
3rd rowP10
4th row25
5th row75

Common Values

ValueCountFrequency (%)
5038
 
4.0%
7535
 
3.7%
10031
 
3.3%
9531
 
3.3%
9022
 
2.3%
2518
 
1.9%
10118
 
1.9%
>9517
 
1.8%
9617
 
1.8%
10215
 
1.6%
Other values (223)615
64.8%
(Missing)92
 
9.7%

Estatura_(ALTA)
Categorical

HIGH CARDINALITY
MISSING

Distinct54
Distinct (%)55.1%
Missing851
Missing (%)89.7%
Memory size7.5 KiB
178
 
7
185
 
6
180
 
6
165
 
5
174
 
4
Other values (49)
70 

Unique

Unique36 ?
Unique (%)36.7%

Sample

1st row178
2nd row174
3rd row169
4th row173
5th row181

Common Values

ValueCountFrequency (%)
1787
 
0.7%
1856
 
0.6%
1806
 
0.6%
1655
 
0.5%
1744
 
0.4%
1694
 
0.4%
1683
 
0.3%
1723
 
0.3%
1573
 
0.3%
1843
 
0.3%
Other values (44)54
 
5.7%
(Missing)851
89.7%

Estudo_genético
Categorical

MISSING

Distinct2
Distinct (%)0.3%
Missing200
Missing (%)21.1%
Memory size7.5 KiB
S
711 
N
 
38

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowS
2nd rowS
3rd rowS
4th rowS
5th rowS

Common Values

ValueCountFrequency (%)
S711
74.9%
N38
 
4.0%
(Missing)200
 
21.1%

FG_WPPSIR
Real number (ℝ≥0)

MISSING

Distinct12
Distinct (%)80.0%
Missing934
Missing (%)98.4%
Infinite0
Infinite (%)0.0%
Mean10.66666667
Minimum2
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:00.723549image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4.8
Q18.5
median11
Q312.5
95-th percentile17.6
Maximum19
Range17
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.303929544
Coefficient of variation (CV)0.4034933948
Kurtosis0.4516791355
Mean10.66666667
Median Absolute Deviation (MAD)2
Skewness0.1022284812
Sum160
Variance18.52380952
MonotonicityNot monotonic
2022-12-16T17:31:00.827671image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
113
 
0.3%
92
 
0.2%
71
 
0.1%
171
 
0.1%
151
 
0.1%
81
 
0.1%
101
 
0.1%
131
 
0.1%
121
 
0.1%
191
 
0.1%
Other values (2)2
 
0.2%
(Missing)934
98.4%
ValueCountFrequency (%)
21
0.1%
61
0.1%
71
0.1%
81
0.1%
92
0.2%
ValueCountFrequency (%)
191
0.1%
171
0.1%
151
0.1%
131
0.1%
121
0.1%

FM_WPPSIR
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)100.0%
Missing944
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean4.8
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:00.941172image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.6
Q14
median5
Q36
95-th percentile7.6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.588435821
Coefficient of variation (CV)0.5392574627
Kurtosis0.7952773446
Mean4.8
Median Absolute Deviation (MAD)1
Skewness-0.5016571986
Sum24
Variance6.7
MonotonicityNot monotonic
2022-12-16T17:31:01.042067image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
41
 
0.1%
11
 
0.1%
51
 
0.1%
61
 
0.1%
81
 
0.1%
(Missing)944
99.5%
ValueCountFrequency (%)
11
0.1%
41
0.1%
51
0.1%
61
0.1%
81
0.1%
ValueCountFrequency (%)
81
0.1%
61
0.1%
51
0.1%
41
0.1%
11
0.1%

FRAXA_Result
Categorical

MISSING

Distinct19
Distinct (%)2.3%
Missing117
Missing (%)12.3%
Memory size7.5 KiB
Normal
810 
Repetir
 
3
alterado
 
3
alelo intermedio 43 repetições CGG
 
1
alterado alelo intermedio 45 repetições CGG
 
1
Other values (14)
 
14

Unique

Unique16 ?
Unique (%)1.9%

Sample

1st rowNormal
2nd rowNormal
3rd rowNormal
4th rowNormal
5th rowNormal

Common Values

ValueCountFrequency (%)
Normal810
85.4%
Repetir3
 
0.3%
alterado3
 
0.3%
alelo intermedio 43 repetições CGG1
 
0.1%
alterado alelo intermedio 45 repetições CGG1
 
0.1%
Normal (fora)1
 
0.1%
alterado alelo intermedio 48 repetições CGG1
 
0.1%
Normal 28 repetições CGG1
 
0.1%
alterado alelo intermedio 41 repetições CGG1
 
0.1%
alterado um alelo normal 28 e um intermedio 48 repetições CGG 1
 
0.1%
Other values (9)9
 
0.9%
(Missing)117
 
12.3%

FRAXE_Result
Categorical

MISSING

Distinct4
Distinct (%)1.0%
Missing547
Missing (%)57.6%
Memory size7.5 KiB
Normal
396 
repetir
 
4
hipermetilação e >200 repetições
 
1
amostra insuficiente
 
1

Unique

Unique2 ?
Unique (%)0.5%

Sample

1st rowNormal
2nd rowNormal
3rd rowNormal
4th rowNormal
5th rowNormal

Common Values

ValueCountFrequency (%)
Normal396
41.7%
repetir4
 
0.4%
hipermetilação e >200 repetições1
 
0.1%
amostra insuficiente1
 
0.1%
(Missing)547
57.6%

GAA
Categorical

MISSING

Distinct16
Distinct (%)2.3%
Missing256
Missing (%)27.0%
Memory size7.5 KiB
sim_x001D_normal
570 
s_x001D_normal
74 
sim
 
19
não
 
8
sim_x001D_alterado repetir_x001D_Repetição -N
 
4
Other values (11)
 
18

Unique

Unique6 ?
Unique (%)0.9%

Sample

1st rows_x001D_normal
2nd rows_x001D_normal
3rd rowsim_x001D_normal
4th rowsim_x001D_normal
5th rows_x001D_normal

Common Values

ValueCountFrequency (%)
sim_x001D_normal570
60.1%
s_x001D_normal74
 
7.8%
sim19
 
2.0%
não8
 
0.8%
sim_x001D_alterado repetir_x001D_Repetição -N4
 
0.4%
sim_x001D_não3
 
0.3%
s_x001D_n3
 
0.3%
sim_x001D_alterado repetir2
 
0.2%
normal_x001D_sim2
 
0.2%
2
 
0.2%
Other values (6)6
 
0.6%
(Missing)256
27.0%
Distinct18
Distinct (%)1.9%
Missing7
Missing (%)0.7%
Memory size7.5 KiB
I
430 
II
294 
III
112 
1
 
33
IV
 
24
Other values (13)
49 

Unique

Unique6 ?
Unique (%)0.6%

Sample

1st rowIV
2nd rowII
3rd rowIII
4th rowI
5th rowI

Common Values

ValueCountFrequency (%)
I430
45.3%
II294
31.0%
III112
 
11.8%
133
 
3.5%
IV24
 
2.5%
216
 
1.7%
V14
 
1.5%
34
 
0.4%
383
 
0.3%
VI2
 
0.2%
Other values (8)10
 
1.1%
(Missing)7
 
0.7%

Griffiths
Categorical

MISSING

Distinct2
Distinct (%)0.2%
Missing61
Missing (%)6.4%
Memory size7.5 KiB
S
821 
N
 
67

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowS
2nd rowS
3rd rowS
4th rowS
5th rowS

Common Values

ValueCountFrequency (%)
S821
86.5%
N67
 
7.1%
(Missing)61
 
6.4%

Griffiths_QD_Global
Real number (ℝ≥0)

MISSING

Distinct111
Distinct (%)13.6%
Missing132
Missing (%)13.9%
Infinite0
Infinite (%)0.0%
Mean70.92962056
Minimum18
Maximum135
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:01.195288image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile32
Q155
median72
Q387
95-th percentile106
Maximum135
Range117
Interquartile range (IQR)32

Descriptive statistics

Standard deviation22.80195326
Coefficient of variation (CV)0.3214729344
Kurtosis-0.4821041919
Mean70.92962056
Median Absolute Deviation (MAD)16
Skewness-0.01321673873
Sum57949.5
Variance519.9290725
MonotonicityNot monotonic
2022-12-16T17:31:01.353938image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7520
 
2.1%
7718
 
1.9%
8218
 
1.9%
8017
 
1.8%
7917
 
1.8%
6916
 
1.7%
5816
 
1.7%
7816
 
1.7%
8715
 
1.6%
7115
 
1.6%
Other values (101)649
68.4%
(Missing)132
 
13.9%
ValueCountFrequency (%)
181
0.1%
201
0.1%
211
0.1%
221
0.1%
22.41
0.1%
ValueCountFrequency (%)
1351
0.1%
1311
0.1%
1301
0.1%
1291
0.1%
1281
0.1%

Griffiths_TM_Joana
Categorical

MISSING

Distinct2
Distinct (%)1.4%
Missing811
Missing (%)85.5%
Memory size7.5 KiB
S
106 
N
32 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowS
2nd rowS
3rd rowS
4th rowN
5th rowS

Common Values

ValueCountFrequency (%)
S106
 
11.2%
N32
 
3.4%
(Missing)811
85.5%

Psyc_Family_Hist
Categorical

MISSING

Distinct3
Distinct (%)0.3%
Missing17
Missing (%)1.8%
Memory size7.5 KiB
N
532 
S
397 
outro
 
3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowS
2nd rowN
3rd rowS
4th rowS
5th rowS

Common Values

ValueCountFrequency (%)
N532
56.1%
S397
41.8%
outro3
 
0.3%
(Missing)17
 
1.8%

IC_Reav_Griffiths
Real number (ℝ)

MISSING

Distinct85
Distinct (%)27.1%
Missing635
Missing (%)66.9%
Infinite0
Infinite (%)0.0%
Mean-1455.824841
Minimum-24176
Maximum125
Zeros0
Zeros (%)0.0%
Negative20
Negative (%)2.1%
Memory size7.5 KiB
2022-12-16T17:31:01.531166image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-24176
5-th percentile-23954.75
Q161
median78
Q391
95-th percentile105
Maximum125
Range24301
Interquartile range (IQR)30

Descriptive statistics

Standard deviation5891.551084
Coefficient of variation (CV)-4.046881822
Kurtosis10.96103142
Mean-1455.824841
Median Absolute Deviation (MAD)15.5
Skewness-3.590402727
Sum-457129
Variance34710374.17
MonotonicityNot monotonic
2022-12-16T17:31:01.702330image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7311
 
1.2%
8711
 
1.2%
8610
 
1.1%
969
 
0.9%
608
 
0.8%
948
 
0.8%
687
 
0.7%
987
 
0.7%
797
 
0.7%
847
 
0.7%
Other values (75)229
 
24.1%
(Missing)635
66.9%
ValueCountFrequency (%)
-241761
0.1%
-241011
0.1%
-240762
0.2%
-240451
0.1%
-240282
0.2%
ValueCountFrequency (%)
1251
0.1%
1241
0.1%
1171
0.1%
1112
0.2%
1101
0.1%

IC_Reav_WISCIII
Real number (ℝ)

MISSING

Distinct22
Distinct (%)66.7%
Missing916
Missing (%)96.5%
Infinite0
Infinite (%)0.0%
Mean-22554.72727
Minimum-24176
Maximum174
Zeros0
Zeros (%)0.0%
Negative31
Negative (%)3.3%
Memory size7.5 KiB
2022-12-16T17:31:01.841144image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-24176
5-th percentile-24086
Q1-24052
median-24017
Q3-23965
95-th percentile-14290
Maximum174
Range24350
Interquartile range (IQR)87

Descriptive statistics

Standard deviation5861.961725
Coefficient of variation (CV)-0.2598994727
Kurtosis13.73281306
Mean-22554.72727
Median Absolute Deviation (MAD)44
Skewness3.860191772
Sum-744306
Variance34362595.27
MonotonicityNot monotonic
2022-12-16T17:31:01.968097image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
-240524
 
0.4%
-239843
 
0.3%
-240653
 
0.3%
-239582
 
0.2%
-240762
 
0.2%
-240282
 
0.2%
-239362
 
0.2%
-241761
 
0.1%
1741
 
0.1%
-240611
 
0.1%
Other values (12)12
 
1.3%
(Missing)916
96.5%
ValueCountFrequency (%)
-241761
 
0.1%
-241011
 
0.1%
-240762
0.2%
-240653
0.3%
-240611
 
0.1%
ValueCountFrequency (%)
1741
0.1%
1671
0.1%
-239281
0.1%
-239362
0.2%
-239531
0.1%

IM_G
Real number (ℝ≥0)

MISSING

Distinct91
Distinct (%)11.2%
Missing136
Missing (%)14.3%
Infinite0
Infinite (%)0.0%
Mean40.88536285
Minimum13
Maximum93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:02.114211image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile19
Q129
median38
Q351
95-th percentile70
Maximum93
Range80
Interquartile range (IQR)22

Descriptive statistics

Standard deviation16.34340664
Coefficient of variation (CV)0.399737351
Kurtosis-0.1177002061
Mean40.88536285
Median Absolute Deviation (MAD)11
Skewness0.6574355166
Sum33239.8
Variance267.1069407
MonotonicityNot monotonic
2022-12-16T17:31:02.271018image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2930
 
3.2%
3029
 
3.1%
3728
 
3.0%
2524
 
2.5%
3323
 
2.4%
3821
 
2.2%
3120
 
2.1%
3219
 
2.0%
3618
 
1.9%
4018
 
1.9%
Other values (81)583
61.4%
(Missing)136
 
14.3%
ValueCountFrequency (%)
132
 
0.2%
143
0.3%
155
0.5%
15.41
 
0.1%
15.51
 
0.1%
ValueCountFrequency (%)
931
0.1%
922
0.2%
882
0.2%
871
0.1%
851
0.1%

IM_L
Real number (ℝ≥0)

MISSING

Distinct91
Distinct (%)11.3%
Missing142
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean34.13085502
Minimum5
Maximum98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:02.439325image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile11
Q117.5
median28
Q348
95-th percentile72
Maximum98
Range93
Interquartile range (IQR)30.5

Descriptive statistics

Standard deviation20.01776636
Coefficient of variation (CV)0.5865005827
Kurtosis-0.3134588559
Mean34.13085502
Median Absolute Deviation (MAD)13
Skewness0.7910859707
Sum27543.6
Variance400.7109699
MonotonicityNot monotonic
2022-12-16T17:31:02.599509image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2440
 
4.2%
1727
 
2.8%
1627
 
2.8%
3225
 
2.6%
1825
 
2.6%
4822
 
2.3%
2220
 
2.1%
1320
 
2.1%
4220
 
2.1%
3020
 
2.1%
Other values (81)561
59.1%
(Missing)142
 
15.0%
ValueCountFrequency (%)
53
 
0.3%
73
 
0.3%
84
0.4%
8.51
 
0.1%
98
0.8%
ValueCountFrequency (%)
981
 
0.1%
923
0.3%
882
0.2%
864
0.4%
844
0.4%

IM_M
Real number (ℝ≥0)

MISSING

Distinct81
Distinct (%)10.0%
Missing139
Missing (%)14.6%
Infinite0
Infinite (%)0.0%
Mean49.62777778
Minimum17
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:02.760377image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile24
Q138
median48
Q360
95-th percentile80
Maximum100
Range83
Interquartile range (IQR)22

Descriptive statistics

Standard deviation16.80038131
Coefficient of variation (CV)0.3385277774
Kurtosis-0.1485455369
Mean49.62777778
Median Absolute Deviation (MAD)12
Skewness0.4992245391
Sum40198.5
Variance282.2528121
MonotonicityNot monotonic
2022-12-16T17:31:03.182140image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5042
 
4.4%
4241
 
4.3%
4640
 
4.2%
4438
 
4.0%
3637
 
3.9%
4035
 
3.7%
5234
 
3.6%
5433
 
3.5%
4830
 
3.2%
3829
 
3.1%
Other values (71)451
47.5%
(Missing)139
 
14.6%
ValueCountFrequency (%)
172
0.2%
181
 
0.1%
191
 
0.1%
19.53
0.3%
202
0.2%
ValueCountFrequency (%)
1004
0.4%
982
0.2%
962
0.2%
941
 
0.1%
904
0.4%

IM_O/M
Real number (ℝ≥0)

MISSING

Distinct91
Distinct (%)11.2%
Missing139
Missing (%)14.6%
Infinite0
Infinite (%)0.0%
Mean41.01876543
Minimum7
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:03.339912image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile17
Q126
median36
Q352
95-th percentile80
Maximum100
Range93
Interquartile range (IQR)26

Descriptive statistics

Standard deviation19.53852189
Coefficient of variation (CV)0.4763313008
Kurtosis0.1001717187
Mean41.01876543
Median Absolute Deviation (MAD)11
Skewness0.9323108274
Sum33225.2
Variance381.7538378
MonotonicityNot monotonic
2022-12-16T17:31:03.493954image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3842
 
4.4%
3641
 
4.3%
3240
 
4.2%
3437
 
3.9%
4035
 
3.7%
3032
 
3.4%
2831
 
3.3%
2626
 
2.7%
2425
 
2.6%
4621
 
2.2%
Other values (81)480
50.6%
(Missing)139
 
14.6%
ValueCountFrequency (%)
71
 
0.1%
111
 
0.1%
123
0.3%
132
 
0.2%
146
0.6%
ValueCountFrequency (%)
1001
 
0.1%
982
0.2%
962
0.2%
944
0.4%
923
0.3%

IM_P/S
Real number (ℝ≥0)

MISSING

Distinct98
Distinct (%)12.1%
Missing140
Missing (%)14.8%
Infinite0
Infinite (%)0.0%
Mean39.45154512
Minimum12
Maximum96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:03.658065image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile17
Q126
median38
Q350
95-th percentile70
Maximum96
Range84
Interquartile range (IQR)24

Descriptive statistics

Standard deviation16.52440217
Coefficient of variation (CV)0.418853105
Kurtosis-0.06353938514
Mean39.45154512
Median Absolute Deviation (MAD)12
Skewness0.5858892292
Sum31916.3
Variance273.055867
MonotonicityNot monotonic
2022-12-16T17:31:03.808917image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4837
 
3.9%
3834
 
3.6%
5233
 
3.5%
3230
 
3.2%
4227
 
2.8%
4027
 
2.8%
4627
 
2.8%
4425
 
2.6%
5823
 
2.4%
3620
 
2.1%
Other values (88)526
55.4%
(Missing)140
 
14.8%
ValueCountFrequency (%)
122
0.2%
12.53
0.3%
134
0.4%
13.51
 
0.1%
143
0.3%
ValueCountFrequency (%)
962
0.2%
901
 
0.1%
883
0.3%
861
 
0.1%
841
 
0.1%

IM_R
Real number (ℝ≥0)

MISSING

Distinct84
Distinct (%)10.4%
Missing139
Missing (%)14.6%
Infinite0
Infinite (%)0.0%
Mean45.5108642
Minimum10
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:03.966456image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile18
Q134
median44
Q354
95-th percentile82
Maximum100
Range90
Interquartile range (IQR)20

Descriptive statistics

Standard deviation17.9323838
Coefficient of variation (CV)0.3940242426
Kurtosis0.2873216817
Mean45.5108642
Median Absolute Deviation (MAD)10
Skewness0.5879948784
Sum36863.8
Variance321.5703886
MonotonicityNot monotonic
2022-12-16T17:31:04.119205image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4658
 
6.1%
4450
 
5.3%
5050
 
5.3%
4849
 
5.2%
4043
 
4.5%
3838
 
4.0%
4237
 
3.9%
5228
 
3.0%
3624
 
2.5%
2423
 
2.4%
Other values (74)410
43.2%
(Missing)139
 
14.6%
ValueCountFrequency (%)
101
 
0.1%
111
 
0.1%
123
0.3%
133
0.3%
13.51
 
0.1%
ValueCountFrequency (%)
1002
 
0.2%
981
 
0.1%
963
0.3%
943
0.3%
925
0.5%

IM_R/P
Real number (ℝ≥0)

MISSING
ZEROS

Distinct102
Distinct (%)14.1%
Missing227
Missing (%)23.9%
Infinite0
Infinite (%)0.0%
Mean32.20470914
Minimum0
Maximum100
Zeros134
Zeros (%)14.1%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:04.279416image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q121.625
median32
Q346
95-th percentile68
Maximum100
Range100
Interquartile range (IQR)24.375

Descriptive statistics

Standard deviation21.31719185
Coefficient of variation (CV)0.661927787
Kurtosis0.08971217988
Mean32.20470914
Median Absolute Deviation (MAD)12
Skewness0.293442607
Sum23251.8
Variance454.4226685
MonotonicityNot monotonic
2022-12-16T17:31:04.439694image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0134
 
14.1%
3632
 
3.4%
3829
 
3.1%
2627
 
2.8%
4826
 
2.7%
3426
 
2.7%
2225
 
2.6%
4625
 
2.6%
3224
 
2.5%
4223
 
2.4%
Other values (92)351
37.0%
(Missing)227
23.9%
ValueCountFrequency (%)
0134
14.1%
11.41
 
0.1%
121
 
0.1%
151
 
0.1%
162
 
0.2%
ValueCountFrequency (%)
1002
0.2%
961
 
0.1%
941
 
0.1%
923
0.3%
903
0.3%

QDQI_Age
Real number (ℝ)

MISSING

Distinct136
Distinct (%)16.3%
Missing115
Missing (%)12.1%
Infinite0
Infinite (%)0.0%
Mean-52.29496403
Minimum-24101
Maximum228
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)0.4%
Memory size7.5 KiB
2022-12-16T17:31:04.598327image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-24101
5-th percentile31
Q142
median54
Q376
95-th percentile125
Maximum228
Range24329
Interquartile range (IQR)34

Descriptive statistics

Standard deviation1667.326637
Coefficient of variation (CV)-31.88312045
Kurtosis204.6062023
Mean-52.29496403
Median Absolute Deviation (MAD)15
Skewness-14.35427808
Sum-43614
Variance2779978.115
MonotonicityNot monotonic
2022-12-16T17:31:04.767666image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4927
 
2.8%
3924
 
2.5%
4323
 
2.4%
3622
 
2.3%
4220
 
2.1%
5619
 
2.0%
5419
 
2.0%
4819
 
2.0%
3718
 
1.9%
4718
 
1.9%
Other values (126)625
65.9%
(Missing)115
 
12.1%
ValueCountFrequency (%)
-241011
0.1%
-240762
0.2%
-239531
0.1%
41
0.1%
201
0.1%
ValueCountFrequency (%)
2281
0.1%
1951
0.1%
1921
0.1%
1891
0.1%
1701
0.1%

Idade_Actual
Real number (ℝ≥0)

Distinct34
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.5658588
Minimum3
Maximum37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:04.920081image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile7
Q113
median18
Q324
95-th percentile31
Maximum37
Range34
Interquartile range (IQR)11

Descriptive statistics

Standard deviation7.315604804
Coefficient of variation (CV)0.3940353573
Kurtosis-0.807109231
Mean18.5658588
Median Absolute Deviation (MAD)6
Skewness0.1574515957
Sum17619
Variance53.51807366
MonotonicityNot monotonic
2022-12-16T17:31:05.047529image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
1352
 
5.5%
1649
 
5.2%
2246
 
4.8%
1944
 
4.6%
1844
 
4.6%
2144
 
4.6%
1242
 
4.4%
1542
 
4.4%
1141
 
4.3%
2340
 
4.2%
Other values (24)505
53.2%
ValueCountFrequency (%)
33
 
0.3%
48
0.8%
57
 
0.7%
613
1.4%
718
1.9%
ValueCountFrequency (%)
371
 
0.1%
354
 
0.4%
347
0.7%
337
0.7%
3213
1.4%

Diag_Age
Real number (ℝ≥0)

MISSING

Distinct17
Distinct (%)2.6%
Missing298
Missing (%)31.4%
Infinite0
Infinite (%)0.0%
Mean4.531490015
Minimum1
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:05.173126image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile10
Maximum18
Range17
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.699887307
Coefficient of variation (CV)0.5958056395
Kurtosis2.623657452
Mean4.531490015
Median Absolute Deviation (MAD)1
Skewness1.581386392
Sum2950
Variance7.289391469
MonotonicityNot monotonic
2022-12-16T17:31:05.284637image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
3181
19.1%
4123
13.0%
2115
 
12.1%
561
 
6.4%
640
 
4.2%
735
 
3.7%
1021
 
2.2%
918
 
1.9%
817
 
1.8%
1117
 
1.8%
Other values (7)23
 
2.4%
(Missing)298
31.4%
ValueCountFrequency (%)
19
 
0.9%
2115
12.1%
3181
19.1%
4123
13.0%
561
 
6.4%
ValueCountFrequency (%)
181
0.1%
171
0.1%
152
0.2%
142
0.2%
132
0.2%

Idade_Gestacional_
Real number (ℝ≥0)

MISSING

Distinct19
Distinct (%)2.1%
Missing40
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean38.59955996
Minimum1
Maximum49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:05.407419image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile36
Q138
median39
Q340
95-th percentile41
Maximum49
Range48
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.237111846
Coefficient of variation (CV)0.05795692614
Kurtosis90.62341662
Mean38.59955996
Median Absolute Deviation (MAD)1
Skewness-6.142840023
Sum35087
Variance5.00466941
MonotonicityNot monotonic
2022-12-16T17:31:05.525595image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
38230
24.2%
39230
24.2%
40211
22.2%
3779
 
8.3%
4174
 
7.8%
3633
 
3.5%
3411
 
1.2%
4210
 
1.1%
359
 
0.9%
327
 
0.7%
Other values (9)15
 
1.6%
(Missing)40
 
4.2%
ValueCountFrequency (%)
11
0.1%
261
0.1%
282
0.2%
291
0.1%
301
0.1%
ValueCountFrequency (%)
491
 
0.1%
431
 
0.1%
4210
 
1.1%
4174
 
7.8%
40211
22.2%

Idade_WISCIII
Real number (ℝ≥0)

MISSING

Distinct92
Distinct (%)34.3%
Missing681
Missing (%)71.8%
Infinite0
Infinite (%)0.0%
Mean125.6231343
Minimum72
Maximum246
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:05.666070image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum72
5-th percentile89.7
Q1113
median121.5
Q3134.25
95-th percentile174.3
Maximum246
Range174
Interquartile range (IQR)21.25

Descriptive statistics

Standard deviation24.96791473
Coefficient of variation (CV)0.1987525217
Kurtosis2.948804344
Mean125.6231343
Median Absolute Deviation (MAD)9.5
Skewness1.194456161
Sum33667
Variance623.3967662
MonotonicityNot monotonic
2022-12-16T17:31:05.827889image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12212
 
1.3%
11911
 
1.2%
11511
 
1.2%
11410
 
1.1%
1209
 
0.9%
1179
 
0.9%
1238
 
0.8%
1117
 
0.7%
1187
 
0.7%
1287
 
0.7%
Other values (82)177
 
18.7%
(Missing)681
71.8%
ValueCountFrequency (%)
721
0.1%
731
0.1%
751
0.1%
791
0.1%
821
0.1%
ValueCountFrequency (%)
2461
0.1%
2171
0.1%
2141
0.1%
1932
0.2%
1911
0.1%

Idade_WPPSIR_
Real number (ℝ)

MISSING

Distinct40
Distinct (%)70.2%
Missing892
Missing (%)94.0%
Infinite0
Infinite (%)0.0%
Mean-12607.64912
Minimum-24176
Maximum144
Zeros0
Zeros (%)0.0%
Negative30
Negative (%)3.2%
Memory size7.5 KiB
2022-12-16T17:31:05.986232image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-24176
5-th percentile-24067.2
Q1-24028
median-23936
Q367
95-th percentile77
Maximum144
Range24320
Interquartile range (IQR)24095

Descriptive statistics

Standard deviation12135.65238
Coefficient of variation (CV)-0.9625626682
Kurtosis-2.061876362
Mean-12607.64912
Median Absolute Deviation (MAD)165
Skewness0.1082491585
Sum-718636
Variance147274058.7
MonotonicityNot monotonic
2022-12-16T17:31:06.135725image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
-240524
 
0.4%
654
 
0.4%
-239843
 
0.3%
-240653
 
0.3%
662
 
0.2%
-239582
 
0.2%
-239362
 
0.2%
722
 
0.2%
772
 
0.2%
-240282
 
0.2%
Other values (30)31
 
3.3%
(Missing)892
94.0%
ValueCountFrequency (%)
-241761
 
0.1%
-241011
 
0.1%
-240761
 
0.1%
-240653
0.3%
-240611
 
0.1%
ValueCountFrequency (%)
1441
0.1%
1171
0.1%
772
0.2%
762
0.2%
741
0.1%

Idade_de_início
Real number (ℝ≥0)

MISSING

Distinct27
Distinct (%)3.4%
Missing161
Missing (%)17.0%
Infinite0
Infinite (%)0.0%
Mean23.9251269
Minimum6
Maximum120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:06.269799image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile12
Q118
median24
Q324
95-th percentile36
Maximum120
Range114
Interquartile range (IQR)6

Descriptive statistics

Standard deviation9.65876382
Coefficient of variation (CV)0.4037079452
Kurtosis19.05043369
Mean23.9251269
Median Absolute Deviation (MAD)6
Skewness2.946652384
Sum18853
Variance93.29171854
MonotonicityNot monotonic
2022-12-16T17:31:06.399173image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
24364
38.4%
18139
 
14.6%
3694
 
9.9%
1283
 
8.7%
3022
 
2.3%
1517
 
1.8%
4813
 
1.4%
168
 
0.8%
197
 
0.7%
206
 
0.6%
Other values (17)35
 
3.7%
(Missing)161
17.0%
ValueCountFrequency (%)
61
 
0.1%
91
 
0.1%
101
 
0.1%
111
 
0.1%
1283
8.7%
ValueCountFrequency (%)
1201
 
0.1%
961
 
0.1%
724
0.4%
604
0.4%
501
 
0.1%

Idade_inicio_coincide_com_
Categorical

MISSING

Distinct33
Distinct (%)3.9%
Missing102
Missing (%)10.7%
Memory size7.5 KiB
Nada
809 
Nascimento irmão
 
4
Entrada para o infantário
 
3
nascimento do irmão
 
2
Morte da avó
 
1
Other values (28)
 
28

Unique

Unique29 ?
Unique (%)3.4%

Sample

1st rowNada
2nd rowNada
3rd rowNada
4th rowNada
5th rowNada

Common Values

ValueCountFrequency (%)
Nada809
85.2%
Nascimento irmão4
 
0.4%
Entrada para o infantário3
 
0.3%
nascimento do irmão2
 
0.2%
Morte da avó1
 
0.1%
Vacinas1
 
0.1%
queda sem coma_x001D_Nada1
 
0.1%
Vacinas_x001D_Sim1
 
0.1%
Aborto da mãe?1
 
0.1%
S. West1
 
0.1%
Other values (23)23
 
2.4%
(Missing)102
 
10.7%

Incidentes
Categorical

HIGH CARDINALITY
MISSING

Distinct188
Distinct (%)20.3%
Missing21
Missing (%)2.2%
Memory size7.5 KiB
Não
678 
Sim_x001D_Diabetes
 
19
Sim
 
8
Sim_x001D_APP 2º T
 
5
Sim_x001D_Gemelar
 
5
Other values (183)
213 

Unique

Unique164 ?
Unique (%)17.7%

Sample

1st rowNão
2nd rowNão
3rd rowSim_x001D_Toxicodependencia_x001D_gravideznão vigiada
4th rowNão
5th rowNão

Common Values

ValueCountFrequency (%)
Não678
71.4%
Sim_x001D_Diabetes19
 
2.0%
Sim8
 
0.8%
Sim_x001D_APP 2º T5
 
0.5%
Sim_x001D_Gemelar5
 
0.5%
Sim_x001D_APP 1º T5
 
0.5%
Sim_x001D_HTA4
 
0.4%
Sim_x001D_Diabetes gestacional4
 
0.4%
Sim_x001D_Hemorragia 1º T4
 
0.4%
Sim_x001D_APP 3º T3
 
0.3%
Other values (178)193
 
20.3%
(Missing)21
 
2.2%

Inf_WISCIII
Real number (ℝ≥0)

MISSING

Distinct19
Distinct (%)8.1%
Missing715
Missing (%)75.3%
Infinite0
Infinite (%)0.0%
Mean8.273504274
Minimum1
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:06.529692image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median8
Q311
95-th percentile16
Maximum19
Range18
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.593565067
Coefficient of variation (CV)0.5552139596
Kurtosis-0.7216960338
Mean8.273504274
Median Absolute Deviation (MAD)3
Skewness0.1542196207
Sum1936
Variance21.10084003
MonotonicityNot monotonic
2022-12-16T17:31:06.651502image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
724
 
2.5%
823
 
2.4%
122
 
2.3%
1020
 
2.1%
1117
 
1.8%
916
 
1.7%
1314
 
1.5%
313
 
1.4%
411
 
1.2%
211
 
1.2%
Other values (9)63
 
6.6%
(Missing)715
75.3%
ValueCountFrequency (%)
122
2.3%
211
1.2%
313
1.4%
411
1.2%
510
1.1%
ValueCountFrequency (%)
193
 
0.3%
181
 
0.1%
175
0.5%
167
0.7%
1510
1.1%

Inf_WPPSIR
Real number (ℝ≥0)

MISSING

Distinct12
Distinct (%)80.0%
Missing934
Missing (%)98.4%
Infinite0
Infinite (%)0.0%
Mean9.933333333
Minimum4
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:06.774533image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4
Q16.5
median10
Q313.5
95-th percentile15.9
Maximum18
Range14
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.317186032
Coefficient of variation (CV)0.4346160435
Kurtosis-0.9392144744
Mean9.933333333
Median Absolute Deviation (MAD)4
Skewness0.1999298395
Sum149
Variance18.63809524
MonotonicityNot monotonic
2022-12-16T17:31:06.881792image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
102
 
0.2%
42
 
0.2%
142
 
0.2%
51
 
0.1%
61
 
0.1%
131
 
0.1%
71
 
0.1%
121
 
0.1%
151
 
0.1%
81
 
0.1%
Other values (2)2
 
0.2%
(Missing)934
98.4%
ValueCountFrequency (%)
42
0.2%
51
0.1%
61
0.1%
71
0.1%
81
0.1%
ValueCountFrequency (%)
181
0.1%
151
0.1%
142
0.2%
131
0.1%
121
0.1%

Internamentos_História
Categorical

HIGH CARDINALITY
MISSING

Distinct93
Distinct (%)62.4%
Missing800
Missing (%)84.3%
Memory size7.5 KiB
Adenoidectomia
22 
cirurgia ORL
17 
Convulsão febril
 
7
Convulsões
 
6
Pielonefrite
 
4
Other values (88)
93 

Unique

Unique84 ?
Unique (%)56.4%

Sample

1st row Queimadura mão
2nd rowAdenoidectomia
3rd rowConvulsões
4th rowconvulsões aos 9 meses-duraram 1 ano
5th rowEpilepsia

Common Values

ValueCountFrequency (%)
Adenoidectomia22
 
2.3%
cirurgia ORL17
 
1.8%
Convulsão febril7
 
0.7%
Convulsões6
 
0.6%
Pielonefrite4
 
0.4%
Bronquiolite3
 
0.3%
Pneumonia2
 
0.2%
operado ouvidos_x001D_Adenoidectomia2
 
0.2%
GEA Des- 8M2
 
0.2%
Queimadura mão1
 
0.1%
Other values (83)83
 
8.7%
(Missing)800
84.3%

Irmão_A_DN
Categorical

HIGH CARDINALITY
MISSING

Distinct548
Distinct (%)94.5%
Missing369
Missing (%)38.9%
Memory size7.5 KiB
18A
 
5
8A
 
4
13A
 
4
15A
 
3
19A
 
3
Other values (543)
561 

Unique

Unique525 ?
Unique (%)90.5%

Sample

1st row1997-09-14 00:00:00
2nd row12A
3rd row1998-06-27 00:00:00
4th row13A
5th row9/23/1988

Common Values

ValueCountFrequency (%)
18A5
 
0.5%
8A4
 
0.4%
13A4
 
0.4%
15A3
 
0.3%
19A3
 
0.3%
Gémeo2
 
0.2%
9A (2007)2
 
0.2%
11M2
 
0.2%
6A (2009)2
 
0.2%
21A2
 
0.2%
Other values (538)551
58.1%
(Missing)369
38.9%
Distinct36
Distinct (%)21.1%
Missing778
Missing (%)82.0%
Memory size7.5 KiB
Não
133 
sim_x001D_D chron
 
2
sim_x001D_Alergias
 
2
sim_x001D_D celiaca
 
2
Diabetes
 
1
Other values (31)
31 

Unique

Unique32 ?
Unique (%)18.7%

Sample

1st rowNão
2nd rowNão
3rd rowNão
4th rowNão
5th rowNão

Common Values

ValueCountFrequency (%)
Não133
 
14.0%
sim_x001D_D chron2
 
0.2%
sim_x001D_Alergias2
 
0.2%
sim_x001D_D celiaca2
 
0.2%
Diabetes1
 
0.1%
Medicina 1
 
0.1%
Obesidade1
 
0.1%
sim_x001D_Diabetes1
 
0.1%
Estudante universitario1
 
0.1%
Saudável_x001D_Angelo1
 
0.1%
Other values (26)26
 
2.7%
(Missing)778
82.0%
Distinct4
Distinct (%)0.8%
Missing450
Missing (%)47.4%
Memory size7.5 KiB
Dta
435 
Esq
 
40
Ind
 
22
??
 
2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowDta
2nd row??
3rd rowDta
4th rowEsq
5th rowDta

Common Values

ValueCountFrequency (%)
Dta435
45.8%
Esq40
 
4.2%
Ind22
 
2.3%
??2
 
0.2%
(Missing)450
47.4%

Irmão_A_problemas_DPM
Categorical

MISSING

Distinct42
Distinct (%)6.7%
Missing324
Missing (%)34.1%
Memory size7.5 KiB
Não
515 
Sim_x001D_Dificuldades de aprendizagem
 
21
Sim_x001D_Atraso de desenvolvimento
 
10
Sim_x001D_Atraso de linguagem
 
9
Dificuldades de aprendizagem_x001D_Sim
 
8
Other values (37)
62 

Unique

Unique27 ?
Unique (%)4.3%

Sample

1st rowDificuldades de aprendizagem_x001D_Sim
2nd rowNão
3rd rowNão
4th rowNão
5th rowNão

Common Values

ValueCountFrequency (%)
Não515
54.3%
Sim_x001D_Dificuldades de aprendizagem21
 
2.2%
Sim_x001D_Atraso de desenvolvimento10
 
1.1%
Sim_x001D_Atraso de linguagem9
 
0.9%
Dificuldades de aprendizagem_x001D_Sim8
 
0.8%
Sim8
 
0.8%
Sim_x001D_Autismo6
 
0.6%
Dificuldades de aprendizagem5
 
0.5%
Sim_x001D_Autismo_x001D_Defice intelectual3
 
0.3%
Sim_x001D_Defice atenção/hiperactividade3
 
0.3%
Other values (32)37
 
3.9%
(Missing)324
34.1%

Irmão_A_psicopatologia
Categorical

MISSING

Distinct26
Distinct (%)4.2%
Missing325
Missing (%)34.2%
Memory size7.5 KiB
Não
579 
Sim_x001D_Autismo
 
13
Sim
 
4
Sim_x001D_ADHD
 
4
Sim_x001D_Autismo_x001D_Deficiência mental
 
2
Other values (21)
 
22

Unique

Unique20 ?
Unique (%)3.2%

Sample

1st rowSim_x001D_Sim
2nd rowNão
3rd rowNão
4th rowNão
5th rowNão

Common Values

ValueCountFrequency (%)
Não579
61.0%
Sim_x001D_Autismo13
 
1.4%
Sim4
 
0.4%
Sim_x001D_ADHD4
 
0.4%
Sim_x001D_Autismo_x001D_Deficiência mental2
 
0.2%
Sim_x001D_Esquizofrenia2
 
0.2%
Sim_x001D_Sim1
 
0.1%
Sim_x001D_Toxicodependencia_x001D_Esquizofrenia1
 
0.1%
Sim_x001D_Perturbação depressiva1
 
0.1%
Asperger_x001D_Sim1
 
0.1%
Other values (16)16
 
1.7%
(Missing)325
34.2%

Irmão_A_sexo
Categorical

MISSING

Distinct2
Distinct (%)0.3%
Missing299
Missing (%)31.5%
Memory size7.5 KiB
F
327 
M
323 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowM
2nd rowM
3rd rowF
4th rowF
5th rowM

Common Values

ValueCountFrequency (%)
F327
34.5%
M323
34.0%
(Missing)299
31.5%

Irmão_B_DN
Categorical

HIGH CARDINALITY
MISSING

Distinct138
Distinct (%)94.5%
Missing803
Missing (%)84.6%
Memory size7.5 KiB
14A
 
3
1997-04-05 00:00:00
 
2
6A
 
2
4A
 
2
16A
 
2
Other values (133)
135 

Unique

Unique131 ?
Unique (%)89.7%

Sample

1st row1979-10-04 00:00:00
2nd row6A
3rd row2/13/1999
4th row1986.02.01
5th row1992-02-07 00:00:00

Common Values

ValueCountFrequency (%)
14A3
 
0.3%
1997-04-05 00:00:002
 
0.2%
6A2
 
0.2%
4A2
 
0.2%
16A2
 
0.2%
13A2
 
0.2%
8A2
 
0.2%
1979-10-04 00:00:001
 
0.1%
Kevin (04-07-1993)1
 
0.1%
2006-09-05 00:00:001
 
0.1%
Other values (128)128
 
13.5%
(Missing)803
84.6%

Irmão_B_Psicopatologia
Categorical

MISSING

Distinct7
Distinct (%)4.3%
Missing785
Missing (%)82.7%
Memory size7.5 KiB
Não
155 
Sim_x001D_ADHD
 
2
Autismo
 
2
Sim
 
2
Deficiência_x001D_Sim
 
1
Other values (2)
 
2

Unique

Unique3 ?
Unique (%)1.8%

Sample

1st rowDeficiência_x001D_Sim
2nd rowNão
3rd rowNão
4th rowNão
5th rowNão

Common Values

ValueCountFrequency (%)
Não155
 
16.3%
Sim_x001D_ADHD2
 
0.2%
Autismo2
 
0.2%
Sim2
 
0.2%
Deficiência_x001D_Sim1
 
0.1%
Sim_x001D_Autismo1
 
0.1%
Sim_x001D_P comportamento_x001D_Comp autolesivo1
 
0.1%
(Missing)785
82.7%
Distinct14
Distinct (%)28.6%
Missing900
Missing (%)94.8%
Memory size7.5 KiB
Não
35 
sim_x001D_asma
 
2
Obesidade
 
1
sim_x001D_alergia cutanea
 
1
Faleceu
 
1
Other values (9)

Unique

Unique12 ?
Unique (%)24.5%

Sample

1st rowObesidade
2nd rowNão
3rd rowNão
4th rowNão
5th rowNão

Common Values

ValueCountFrequency (%)
Não35
 
3.7%
sim_x001D_asma2
 
0.2%
Obesidade1
 
0.1%
sim_x001D_alergia cutanea1
 
0.1%
Faleceu1
 
0.1%
sim_x001D_faleceu afogado1
 
0.1%
Curso profissional1
 
0.1%
Saudável1
 
0.1%
meio irmão1
 
0.1%
sim_x001D_Artrite reumatoide1
 
0.1%
Other values (4)4
 
0.4%
(Missing)900
94.8%
Distinct4
Distinct (%)3.4%
Missing833
Missing (%)87.8%
Memory size7.5 KiB
Dta
108 
Ind
 
4
Esq
 
3
Eda
 
1

Unique

Unique1 ?
Unique (%)0.9%

Sample

1st rowDta
2nd rowDta
3rd rowDta
4th rowDta
5th rowDta

Common Values

ValueCountFrequency (%)
Dta108
 
11.4%
Ind4
 
0.4%
Esq3
 
0.3%
Eda1
 
0.1%
(Missing)833
87.8%

Irmão_B_problemas_DPM
Categorical

MISSING

Distinct26
Distinct (%)16.0%
Missing786
Missing (%)82.8%
Memory size7.5 KiB
Não
128 
sim_x001D_Dificuldade de aprendizagem
 
5
Sim_x001D_Dificuldade de aprendizagem
 
3
sim
 
2
Atraso de linguagem
 
2
Other values (21)
23 

Unique

Unique19 ?
Unique (%)11.7%

Sample

1st rowAtraso de desenvolvimento_x001D_Atraso de linguagem_x001D_Epilepsia_x001D_Sim
2nd rowNão
3rd rowNão
4th rowsim_x001D_Dificuldade de aprendizagem
5th rowNão

Common Values

ValueCountFrequency (%)
Não128
 
13.5%
sim_x001D_Dificuldade de aprendizagem5
 
0.5%
Sim_x001D_Dificuldade de aprendizagem3
 
0.3%
sim2
 
0.2%
Atraso de linguagem2
 
0.2%
Sim_x001D_Atraso de linguagem2
 
0.2%
Sim2
 
0.2%
Atraso de desenvolvimento_x001D_Atraso de linguagem_x001D_Epilepsia_x001D_Sim1
 
0.1%
Sim_x001D_Epilepsia1
 
0.1%
Não_x001D_ 1
 
0.1%
Other values (16)16
 
1.7%
(Missing)786
82.8%

Irmão_B_sexo
Categorical

MISSING

Distinct2
Distinct (%)1.2%
Missing777
Missing (%)81.9%
Memory size7.5 KiB
F
89 
M
83 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowF
2nd rowM
3rd rowF
4th rowF
5th rowF

Common Values

ValueCountFrequency (%)
F89
 
9.4%
M83
 
8.7%
(Missing)777
81.9%

Irmão_C_DN
Categorical

MISSING

Distinct33
Distinct (%)100.0%
Missing916
Missing (%)96.5%
Memory size7.5 KiB
2008-08-26 00:00:00
 
1
meia-irmã
 
1
Bruno (2008)
 
1
Helena Dn-2004
 
1
gabriel
 
1
Other values (28)
28 

Unique

Unique33 ?
Unique (%)100.0%

Sample

1st row4a
2nd row1996-11-23 00:00:00
3rd rowMarco 18/12/81
4th row1984-10-15 00:00:00
5th row1982-06-17 00:00:00

Common Values

ValueCountFrequency (%)
2008-08-26 00:00:001
 
0.1%
meia-irmã1
 
0.1%
Bruno (2008)1
 
0.1%
Helena Dn-20041
 
0.1%
gabriel1
 
0.1%
Gonçalo 5-5-20161
 
0.1%
Daniela (01-07-1996)1
 
0.1%
Margarida _x000B_DN 20111
 
0.1%
4a1
 
0.1%
Catarina_x000B_DN 20081
 
0.1%
Other values (23)23
 
2.4%
(Missing)916
96.5%

Irmão_C_Psicopatologia
Categorical

MISSING

Distinct4
Distinct (%)11.8%
Missing915
Missing (%)96.4%
Memory size7.5 KiB
Não
31 
Não_x001D_irma gémea di
 
1
SIM_x001D_Autismo
 
1
Sim
 
1

Unique

Unique3 ?
Unique (%)8.8%

Sample

1st rowNão
2nd rowNão
3rd rowNão
4th rowNão
5th rowNão

Common Values

ValueCountFrequency (%)
Não31
 
3.3%
Não_x001D_irma gémea di1
 
0.1%
SIM_x001D_Autismo1
 
0.1%
Sim1
 
0.1%
(Missing)915
96.4%
Distinct3
Distinct (%)23.1%
Missing936
Missing (%)98.6%
Memory size7.5 KiB
Não
11 
Saudável
 
1
osteocondromas
 
1

Unique

Unique2 ?
Unique (%)15.4%

Sample

1st rowNão
2nd rowNão
3rd rowNão
4th rowNão
5th rowNão

Common Values

ValueCountFrequency (%)
Não11
 
1.2%
Saudável1
 
0.1%
osteocondromas1
 
0.1%
(Missing)936
98.6%

Irmão_C_problemas_DPM
Categorical

MISSING

Distinct8
Distinct (%)23.5%
Missing915
Missing (%)96.4%
Memory size7.5 KiB
Não
26 
Sim
 
2
Atraso de desenvolvimento
 
1
Dificuldade de aprendizagem
 
1
Sim_x001D_Dificuldade de aprendizagem
 
1
Other values (3)

Unique

Unique6 ?
Unique (%)17.6%

Sample

1st rowNão
2nd rowNão
3rd rowNão
4th rowAtraso de desenvolvimento
5th rowNão

Common Values

ValueCountFrequency (%)
Não26
 
2.7%
Sim2
 
0.2%
Atraso de desenvolvimento1
 
0.1%
Dificuldade de aprendizagem1
 
0.1%
Sim_x001D_Dificuldade de aprendizagem1
 
0.1%
Morte Súbita 4M1
 
0.1%
Sim_x001D_Atraso de linguagem1
 
0.1%
Sim_x001D_P aprendizagem1
 
0.1%
(Missing)915
96.4%

Irmão_C_sexo
Categorical

MISSING

Distinct2
Distinct (%)5.1%
Missing910
Missing (%)95.9%
Memory size7.5 KiB
F
23 
M
16 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowF
2nd rowM
3rd rowM
4th rowM
5th rowF

Common Values

ValueCountFrequency (%)
F23
 
2.4%
M16
 
1.7%
(Missing)910
95.9%
Distinct14
Distinct (%)21.5%
Missing884
Missing (%)93.2%
Memory size7.5 KiB
Não
51 
sim_x001D_1 rapaz
 
2
4 irmãos_x001D_P aprendizagem
 
1
Sim_x001D_3 irmãos, 1 surdo NS
 
1
Sim_x001D_Vários dificuldade aprendizagem
 
1
Other values (9)

Unique

Unique12 ?
Unique (%)18.5%

Sample

1st rowNão
2nd rowNão
3rd rowNão
4th rowNão
5th rowNão

Common Values

ValueCountFrequency (%)
Não51
 
5.4%
sim_x001D_1 rapaz2
 
0.2%
4 irmãos_x001D_P aprendizagem1
 
0.1%
Sim_x001D_3 irmãos, 1 surdo NS1
 
0.1%
Sim_x001D_Vários dificuldade aprendizagem1
 
0.1%
sim_x001D_3 irmãos mais velhos saudáveis1
 
0.1%
sim_x001D_P aprendizagem_x001D_Mão Dta_x001D_rapaz1
 
0.1%
meia-irmã - normal_x001D_Não1
 
0.1%
gemeo_x001D_gemeo1
 
0.1%
4 meios irmãos - dois materno, dois paterno, saudaveis1
 
0.1%
Other values (4)4
 
0.4%
(Missing)884
93.2%

Lb_WPPSIR
Real number (ℝ≥0)

MISSING

Distinct10
Distinct (%)66.7%
Missing934
Missing (%)98.4%
Infinite0
Infinite (%)0.0%
Mean9.933333333
Minimum4
Maximum17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:07.018005image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile6.1
Q18
median9
Q311.5
95-th percentile15.6
Maximum17
Range13
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation3.390462814
Coefficient of variation (CV)0.3413217598
Kurtosis0.2759356244
Mean9.933333333
Median Absolute Deviation (MAD)2
Skewness0.5988561749
Sum149
Variance11.4952381
MonotonicityNot monotonic
2022-12-16T17:31:07.134954image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
94
 
0.4%
82
 
0.2%
72
 
0.2%
171
 
0.1%
151
 
0.1%
121
 
0.1%
111
 
0.1%
101
 
0.1%
41
 
0.1%
141
 
0.1%
(Missing)934
98.4%
ValueCountFrequency (%)
41
 
0.1%
72
0.2%
82
0.2%
94
0.4%
101
 
0.1%
ValueCountFrequency (%)
171
0.1%
151
0.1%
141
0.1%
121
0.1%
111
0.1%

MD_WISCIII
Real number (ℝ≥0)

MISSING

Distinct17
Distinct (%)13.9%
Missing827
Missing (%)87.1%
Infinite0
Infinite (%)0.0%
Mean7.795081967
Minimum1
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:07.250972image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.05
Q15
median8
Q310
95-th percentile14
Maximum19
Range18
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.767934578
Coefficient of variation (CV)0.4833733108
Kurtosis0.9626185698
Mean7.795081967
Median Absolute Deviation (MAD)2
Skewness0.5664003822
Sum951
Variance14.19733098
MonotonicityNot monotonic
2022-12-16T17:31:07.357564image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
824
 
2.5%
715
 
1.6%
512
 
1.3%
912
 
1.3%
1010
 
1.1%
119
 
0.9%
37
 
0.7%
67
 
0.7%
17
 
0.7%
134
 
0.4%
Other values (7)15
 
1.6%
(Missing)827
87.1%
ValueCountFrequency (%)
17
0.7%
23
 
0.3%
37
0.7%
43
 
0.3%
512
1.3%
ValueCountFrequency (%)
193
0.3%
171
 
0.1%
161
 
0.1%
151
 
0.1%
143
0.3%

Manchas_cutaneas
Categorical

MISSING

Distinct32
Distinct (%)3.6%
Missing49
Missing (%)5.2%
Memory size7.5 KiB
Não
846 
Sim_x001D_café com leite n1
 
5
Sim_x001D_Hipocromicas
 
5
Sim
 
4
Não_x001D_Não
 
4
Other values (27)
 
36

Unique

Unique22 ?
Unique (%)2.4%

Sample

1st rowNão
2nd rowNão
3rd rowNão
4th rowNão
5th rowNão

Common Values

ValueCountFrequency (%)
Não846
89.1%
Sim_x001D_café com leite n15
 
0.5%
Sim_x001D_Hipocromicas5
 
0.5%
Sim4
 
0.4%
Não_x001D_Não4
 
0.4%
Sim_x001D_Café com leite3
 
0.3%
Sim_x001D_Café com leite/acromica3
 
0.3%
Sim_x001D_café com leite 13
 
0.3%
Sim_x001D_café com leite (3 manchas)3
 
0.3%
café com leite n12
 
0.2%
Other values (22)22
 
2.3%
(Missing)49
 
5.2%

Medicamentos_Quais
Categorical

MISSING

Distinct40
Distinct (%)70.2%
Missing892
Missing (%)94.0%
Memory size7.5 KiB
Antidepressivo
insulina
Corticoterapia
Antibiótico
 
3
Broncodilatador
 
2
Other values (35)
37 

Unique

Unique33 ?
Unique (%)57.9%

Sample

1st row?
2nd rowBroncodilatador
3rd rowAntibiótico_x001D_Anti-inflamatório
4th rowAntihipertensores
5th rowneurolépticos

Common Values

ValueCountFrequency (%)
Antidepressivo7
 
0.7%
insulina4
 
0.4%
Corticoterapia4
 
0.4%
Antibiótico3
 
0.3%
Broncodilatador2
 
0.2%
Para HTA2
 
0.2%
Tiroxina2
 
0.2%
diazepan1
 
0.1%
penilcilina1
 
0.1%
Diazepam1
 
0.1%
Other values (30)30
 
3.2%
(Missing)892
94.0%

Medicação_actual
Categorical

HIGH CARDINALITY
MISSING

Distinct156
Distinct (%)17.3%
Missing46
Missing (%)4.8%
Memory size7.5 KiB
Não
527 
SIM_x001D_Risperidona neur
77 
Sim_x001D_Risperidona neur
 
42
SIM_x001D_Risperidona neur_x001D_neur
 
23
SIM_x001D_Psicoestimulantes
 
8
Other values (151)
226 

Unique

Unique117 ?
Unique (%)13.0%

Sample

1st rowTioridazina _x001D_SIM neur_x001D_risperidona neur
2nd rowMetilfenidato_x001D_Tioridazina neur_x001D_SIM neur
3rd rowNão
4th rowTioridazina_x001D_SIM neur_x001D_risperidona neur
5th rowSIM AE_x001D_Carbamazepina_x001D_Valproato de sódio

Common Values

ValueCountFrequency (%)
Não527
55.5%
SIM_x001D_Risperidona neur77
 
8.1%
Sim_x001D_Risperidona neur42
 
4.4%
SIM_x001D_Risperidona neur_x001D_neur23
 
2.4%
SIM_x001D_Psicoestimulantes8
 
0.8%
Sim_x001D_Melatonina7
 
0.7%
SIM_x001D_Risperidona neur_x001D_AE7
 
0.7%
SIM_x001D_Risperidona neur_x001D_catapressan6
 
0.6%
SIM_x001D_Risperidona neur_x001D_Psicoestimulantes6
 
0.6%
SIM AE_x001D_Valproato de sódio5
 
0.5%
Other values (146)195
 
20.5%
(Missing)46
 
4.8%

Motivo_Consulta
Categorical

HIGH CARDINALITY
MISSING

Distinct195
Distinct (%)20.9%
Missing14
Missing (%)1.5%
Memory size7.5 KiB
Suspeita autismo
367 
Suspeita autismo_x001D_pedido Pediatra
75 
Atraso linguagem
53 
invest ep
39 
Suspeita autismo_x001D_Avaliação psico-educacional
39 
Other values (190)
362 

Unique

Unique145 ?
Unique (%)15.5%

Sample

1st rowAtraso desenvolvimento
2nd rowSuspeita autismo_x001D_Avaliação psico-educacional
3rd rowSuspeita autismo_x001D_Avaliação psico-educacional
4th rowAtraso linguagem
5th rowAvaliação psico-educacional_x001D_Suspeita autismo

Common Values

ValueCountFrequency (%)
Suspeita autismo367
38.7%
Suspeita autismo_x001D_pedido Pediatra75
 
7.9%
Atraso linguagem53
 
5.6%
invest ep39
 
4.1%
Suspeita autismo_x001D_Avaliação psico-educacional39
 
4.1%
Suspeita autismo_x001D_pedido Dr LB23
 
2.4%
Suspeita de autismo17
 
1.8%
Suspeita autismo_x001D_pedido pais16
 
1.7%
Suspeita autismo_x001D_Pedido pediatria14
 
1.5%
Suspeita autismo_x001D_Pedido MF14
 
1.5%
Other values (185)278
29.3%
(Missing)14
 
1.5%

Mãe_DN
Categorical

HIGH CARDINALITY
MISSING

Distinct744
Distinct (%)94.5%
Missing162
Missing (%)17.1%
Memory size7.5 KiB
1959.01.01
 
4
1963.01.01
 
4
1968.01.01
 
4
1961.01.01
 
3
1964.01.01
 
3
Other values (739)
769 

Unique

Unique709 ?
Unique (%)90.1%

Sample

1st row1953-07-01 00:00:00
2nd row1968-07-12 00:00:00
3rd row1966-01-12 00:00:00
4th row1970.01.01
5th row1965-03-23 00:00:00

Common Values

ValueCountFrequency (%)
1959.01.014
 
0.4%
1963.01.014
 
0.4%
1968.01.014
 
0.4%
1961.01.013
 
0.3%
1964.01.013
 
0.3%
1970-05-15 00:00:002
 
0.2%
1963-03-01 00:00:002
 
0.2%
1981-07-04 00:00:002
 
0.2%
1970-07-21 00:00:002
 
0.2%
1962-08-10 00:00:002
 
0.2%
Other values (734)759
80.0%
(Missing)162
 
17.1%

Mãe_estado_civil
Categorical

MISSING

Distinct4
Distinct (%)0.6%
Missing253
Missing (%)26.7%
Memory size7.5 KiB
Cas.
576 
Divor.
100 
Solt.
 
14
Viuvo
 
6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCas.
2nd rowCas.
3rd rowSolt.
4th rowCas.
5th rowDivor.

Common Values

ValueCountFrequency (%)
Cas.576
60.7%
Divor.100
 
10.5%
Solt.14
 
1.5%
Viuvo6
 
0.6%
(Missing)253
26.7%
Distinct26
Distinct (%)3.0%
Missing74
Missing (%)7.8%
Memory size7.5 KiB
Licenc
233 
12º ano
177 
9º ano
90 
Básico 1º
57 
6º ano
43 
Other values (21)
275 

Unique

Unique4 ?
Unique (%)0.5%

Sample

1st rowBásico 3º
2nd rowSuperior
3rd rowBásico 2º
4th rowBásico 2º
5th rowBásico 1º

Common Values

ValueCountFrequency (%)
Licenc233
24.6%
12º ano177
18.7%
9º ano90
 
9.5%
Básico 1º57
 
6.0%
6º ano43
 
4.5%
Secundário39
 
4.1%
Superior39
 
4.1%
Básico 2º37
 
3.9%
4º ano29
 
3.1%
Básico 3º26
 
2.7%
Other values (16)105
11.1%
(Missing)74
 
7.8%

Mãe_outras_doenças
Categorical

HIGH CARDINALITY
MISSING

Distinct54
Distinct (%)20.8%
Missing689
Missing (%)72.6%
Memory size7.5 KiB
Não
202 
Sim_x001D_hipotiroidismo
 
2
hipotiroidismo
 
2
Sim_x001D_Rinite alergica
 
2
asma
 
2
Other values (49)
50 

Unique

Unique48 ?
Unique (%)18.5%

Sample

1st rowNão
2nd rowNão_x001D_
3rd rowNão
4th rowNão
5th rowNão

Common Values

ValueCountFrequency (%)
Não202
 
21.3%
Sim_x001D_hipotiroidismo2
 
0.2%
hipotiroidismo2
 
0.2%
Sim_x001D_Rinite alergica2
 
0.2%
asma2
 
0.2%
Cefaleias2
 
0.2%
Trombofilia_x001D_genética1
 
0.1%
Linfoma em tratamento1
 
0.1%
Sim_x001D_LES1
 
0.1%
Diabetes não insulino1
 
0.1%
Other values (44)44
 
4.6%
(Missing)689
72.6%
Distinct5
Distinct (%)0.6%
Missing151
Missing (%)15.9%
Memory size7.5 KiB
Dta
759 
Esq
 
33
Eda
 
3
Ind
 
2
??
 
1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowDta
2nd rowDta
3rd rowDta
4th rowDta
5th rowDta

Common Values

ValueCountFrequency (%)
Dta759
80.0%
Esq33
 
3.5%
Eda3
 
0.3%
Ind2
 
0.2%
??1
 
0.1%
(Missing)151
 
15.9%

Mãe_problemas_DPM
Categorical

MISSING

Distinct26
Distinct (%)2.8%
Missing30
Missing (%)3.2%
Memory size7.5 KiB
Não
850 
Sim_x001D_Dificuldades de aprendizagem
 
16
P aprendizagem_x001D_Sim
 
11
Sim_x001D_P aprendizagem
 
8
Dificuldades de aprendizagem
 
5
Other values (21)
 
29

Unique

Unique14 ?
Unique (%)1.5%

Sample

1st rowNão
2nd rowNão
3rd rowNão
4th rowNão
5th rowNão

Common Values

ValueCountFrequency (%)
Não850
89.6%
Sim_x001D_Dificuldades de aprendizagem16
 
1.7%
P aprendizagem_x001D_Sim11
 
1.2%
Sim_x001D_P aprendizagem8
 
0.8%
Dificuldades de aprendizagem5
 
0.5%
_x001D_Não3
 
0.3%
Sim2
 
0.2%
Dificuldades de aprendizagem_x001D_Sim2
 
0.2%
Sim_x001D_Atraso de linguagem2
 
0.2%
Epilepsia_x001D_Sim2
 
0.2%
Other values (16)18
 
1.9%
(Missing)30
 
3.2%

Mãe_profissão
Categorical

HIGH CARDINALITY
MISSING

Distinct250
Distinct (%)30.2%
Missing122
Missing (%)12.9%
Memory size7.5 KiB
Doméstica
171 
Desempregada
58 
Professora secundário
 
38
Professora
 
28
Enfermeira
 
28
Other values (245)
504 

Unique

Unique172 ?
Unique (%)20.8%

Sample

1st rowSecretária
2nd rowProfessora secundário
3rd rowDoméstica
4th rowCozinheira
5th rowDoméstica

Common Values

ValueCountFrequency (%)
Doméstica171
 
18.0%
Desempregada58
 
6.1%
Professora secundário38
 
4.0%
Professora28
 
3.0%
Enfermeira28
 
3.0%
Operária19
 
2.0%
Professora básico16
 
1.7%
Escriturária14
 
1.5%
Costureira12
 
1.3%
Administrativa12
 
1.3%
Other values (240)431
45.4%
(Missing)122
 
12.9%

Mãe_psicopatologia
Categorical

MISSING

Distinct37
Distinct (%)4.0%
Missing25
Missing (%)2.6%
Memory size7.5 KiB
Não
812 
Sim_x001D_Perturbação depressiva
 
48
Perturbação depressiva_x001D_Sim
 
20
Sim_x001D_Perturbação do humor
 
5
Sim_x001D_Perturbação da ansiedade
 
3
Other values (32)
 
36

Unique

Unique29 ?
Unique (%)3.1%

Sample

1st rowNão
2nd rowNão
3rd rowToxicodependencia
4th rowNão
5th rowPerturbação depressiva_x001D_Sim_x001D_Antidepressivos

Common Values

ValueCountFrequency (%)
Não 812
85.6%
Sim_x001D_Perturbação depressiva48
 
5.1%
Perturbação depressiva_x001D_Sim20
 
2.1%
Sim_x001D_Perturbação do humor5
 
0.5%
Sim_x001D_Perturbação da ansiedade3
 
0.3%
_x001D_Não 3
 
0.3%
Perturbação do humor_x001D_Sim2
 
0.2%
Perturbação depressiva2
 
0.2%
Duvidas_x001D_ 1
 
0.1%
Perturbação da ansiedade_x001D_Sim1
 
0.1%
Other values (27)27
 
2.8%
(Missing)25
 
2.6%

Mãe_raça
Categorical

MISSING

Distinct19
Distinct (%)2.8%
Missing266
Missing (%)28.0%
Memory size7.5 KiB
Caucasiano
613 
B
 
41
Africano
 
12
Asiático
 
2
40A
 
1
Other values (14)
 
14

Unique

Unique15 ?
Unique (%)2.2%

Sample

1st rowCaucasiano
2nd rowB
3rd rowCaucasiano
4th rowCaucasiano
5th rowB

Common Values

ValueCountFrequency (%)
Caucasiano613
64.6%
B41
 
4.3%
Africano12
 
1.3%
Asiático2
 
0.2%
40A1
 
0.1%
44A1
 
0.1%
39A1
 
0.1%
19881
 
0.1%
26A1
 
0.1%
34A1
 
0.1%
Other values (9)9
 
0.9%
(Missing)266
28.0%

Nisongerpais
Categorical

MISSING

Distinct2
Distinct (%)0.4%
Missing406
Missing (%)42.8%
Memory size7.5 KiB
N
524 
S
 
19

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowN
2nd rowN
3rd rowN
4th rowN
5th rowN

Common Values

ValueCountFrequency (%)
N524
55.2%
S19
 
2.0%
(Missing)406
42.8%

Nisongerprof
Categorical

MISSING

Distinct2
Distinct (%)0.4%
Missing406
Missing (%)42.8%
Memory size7.5 KiB
N
540 
S
 
3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowN
2nd rowN
3rd rowN
4th rowN
5th rowN

Common Values

ValueCountFrequency (%)
N540
56.9%
S3
 
0.3%
(Missing)406
42.8%

Nome_escola
Categorical

HIGH CARDINALITY
MISSING

Distinct695
Distinct (%)89.6%
Missing173
Missing (%)18.2%
Memory size7.5 KiB
EB2,3 Martim de Freitas
 
6
JI Ribeira
 
5
CRIT
 
5
EB2,3 Infante D. Pedro
 
4
EB1 Tovim
 
4
Other values (690)
752 

Unique

Unique643 ?
Unique (%)82.9%

Sample

1st rowColegio Eduardo Claparéde
2nd rowCAO de Porto de Mós
3rd rowCASCI
4th rowASSOL
5th rowCERCIMIRA

Common Values

ValueCountFrequency (%)
EB2,3 Martim de Freitas6
 
0.6%
JI Ribeira5
 
0.5%
CRIT5
 
0.5%
EB2,3 Infante D. Pedro4
 
0.4%
EB1 Tovim4
 
0.4%
EBI Gualdim Pais4
 
0.4%
EB2/3 Martim de Freitas4
 
0.4%
EB1 Almedina4
 
0.4%
EB1 Ribeira4
 
0.4%
Jardim Escola João de Deus3
 
0.3%
Other values (685)733
77.2%
(Missing)173
 
18.2%

Notas_Evolução
Categorical

HIGH CARDINALITY
MISSING

Distinct70
Distinct (%)94.6%
Missing875
Missing (%)92.2%
Memory size7.5 KiB
Evolução não autismo
 
5
Temos desenhos lindos
 
1
Seguido pela Dra Sofia Morais (CHUC ND Adultos)
 
1
Curso de informática no IEFP, posteiromente contrato de trabalho em empresa de cablagem
 
1
AGRESSIVIDADE
 
1
Other values (65)
65 

Unique

Unique69 ?
Unique (%)93.2%

Sample

1st row Mantem Quadro semelhante. Autismo sem dúvida.
2nd rowCNV gain ANXA1
3rd rowMãe e Pai acham que devia ser a mesma equipa a seguir ( vivem a 300 Km)_x001D_P-72.3, E-172, IMC-24.4
4th rowMãe e Pai acham que devia ser a mesma equipa a seguir ( vivem a 300 Km)_x001D_P-89 E-171 IMC VER
5th row Ainda tem convulsões

Common Values

ValueCountFrequency (%)
Evolução não autismo5
 
0.5%
Temos desenhos lindos1
 
0.1%
Seguido pela Dra Sofia Morais (CHUC ND Adultos)1
 
0.1%
Curso de informática no IEFP, posteiromente contrato de trabalho em empresa de cablagem1
 
0.1%
AGRESSIVIDADE1
 
0.1%
cidades comboios viagens1
 
0.1%
Não autismo1
 
0.1%
Alterações da prosodia_x001D_Expert em futebol1
 
0.1%
C panico condições metereológicas1
 
0.1%
Tiques dos 2A6M aos 3A_x001D_movimentos faciais, bater com a cabeça no chão, bruxismo _x001D_Assustava-se mto com barulhos1
 
0.1%
Other values (60)60
 
6.3%
(Missing)875
92.2%

Nível_Funcional/QDG
Categorical

MISSING

Distinct9
Distinct (%)1.1%
Missing123
Missing (%)13.0%
Memory size7.5 KiB
N/próximo
397 
Ligeiro
223 
Moderado
120 
Severo
53 
N/proximo_x000B_N/próximo
 
23
Other values (4)
 
10

Unique

Unique3 ?
Unique (%)0.4%

Sample

1st rowSevero_x000B_N/próximo
2nd rowSevero
3rd rowSevero
4th rowModerado
5th rowSevero

Common Values

ValueCountFrequency (%)
N/próximo397
41.8%
Ligeiro223
23.5%
Moderado120
 
12.6%
Severo53
 
5.6%
N/proximo_x000B_N/próximo23
 
2.4%
Ligeiro_x000B_N/próximo7
 
0.7%
Severo_x000B_N/próximo1
 
0.1%
N/proximo_x000B_Ligeiro1
 
0.1%
Ligeiro_x000B_Moderado1
 
0.1%
(Missing)123
 
13.0%

Nível_matricula
Categorical

MISSING

Distinct30
Distinct (%)4.4%
Missing265
Missing (%)27.9%
Memory size7.5 KiB
Pré-escola
105 
1º ano
60 
9º ano
52 
4º ano
50 
2º ano
50 
Other values (25)
367 

Unique

Unique6 ?
Unique (%)0.9%

Sample

1st row12º ano
2nd row12º ano
3rd row12º ano
4th row11º ano
5th row11º ano

Common Values

ValueCountFrequency (%)
Pré-escola105
 
11.1%
1º ano60
 
6.3%
9º ano52
 
5.5%
4º ano50
 
5.3%
2º ano50
 
5.3%
5º ano49
 
5.2%
6º ano48
 
5.1%
3º ano48
 
5.1%
7º ano38
 
4.0%
11º ano35
 
3.7%
Other values (20)149
15.7%
(Missing)265
27.9%

Organomegálias
Categorical

MISSING

Distinct3
Distinct (%)0.4%
Missing93
Missing (%)9.8%
Memory size7.5 KiB
Não
852 
Não_x001D_Não
 
3
Hepatomegalia_x001D_Esplenomegalia
 
1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNão
2nd rowNão
3rd rowNão
4th rowNão
5th rowNão

Common Values

ValueCountFrequency (%)
Não852
89.8%
Não_x001D_Não3
 
0.3%
Hepatomegalia_x001D_Esplenomegalia1
 
0.1%
(Missing)93
 
9.8%

Origem_Familia_P
Categorical

MISSING

Distinct21
Distinct (%)8.6%
Missing704
Missing (%)74.2%
Memory size7.5 KiB
Centro
129 
Norte
50 
Lisboa vale tejo
15 
Sul- Alentejo
 
11
Açores
 
7
Other values (16)
33 

Unique

Unique10 ?
Unique (%)4.1%

Sample

1st rowAçores- S Jorge
2nd rowNorte
3rd rowNorte
4th rowCentro
5th rowCentro

Common Values

ValueCountFrequency (%)
Centro129
 
13.6%
Norte50
 
5.3%
Lisboa vale tejo15
 
1.6%
Sul- Alentejo11
 
1.2%
Açores7
 
0.7%
Açores/Smiguel7
 
0.7%
Sul-Lisboa5
 
0.5%
Sul Algarve4
 
0.4%
Africa3
 
0.3%
Sul Ribatejo2
 
0.2%
Other values (11)12
 
1.3%
(Missing)704
74.2%

Outros_exames_S
Categorical

MISSING

Distinct2
Distinct (%)0.3%
Missing152
Missing (%)16.0%
Memory size7.5 KiB
S
788 
N
 
9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowS
2nd rowS
3rd rowS
4th rowS
5th rowS

Common Values

ValueCountFrequency (%)
S788
83.0%
N9
 
0.9%
(Missing)152
 
16.0%

Outros_exames_S_resultados
Categorical

HIGH CARDINALITY
MISSING

Distinct393
Distinct (%)46.2%
Missing98
Missing (%)10.3%
Memory size7.5 KiB
Estudo variações genéticas
85 
COST FCT2012_x001D_Reavaliação FCT2012 Concluída
 
40
Hemograma normal_x001D_bioquimica-N_x001D_Longitudinal questionário enviado
 
29
Reavaliação Griffiths
 
28
Hemograma normal_x001D_bioquimica-N
 
26
Other values (388)
643 

Unique

Unique307 ?
Unique (%)36.1%

Sample

1st row_x001D__x001D_Irmão mais novo
2nd rowHemograma normal_x001D_bioquimica-N_x001D_Longitudinal questionário devolvido
3rd rowBM_x001D_bioquimica-N_x001D_Longitudinal questionário devolvido
4th rowIrmão mais novo_x001D_Mito_x001D_Longitudinal questionário enviado
5th rowHemograma alt_x001D_bioquimica-N_x001D_Longitudinal questionário devolvido

Common Values

ValueCountFrequency (%)
Estudo variações genéticas85
 
9.0%
COST FCT2012_x001D_Reavaliação FCT2012 Concluída40
 
4.2%
Hemograma normal_x001D_bioquimica-N_x001D_Longitudinal questionário enviado29
 
3.1%
Reavaliação Griffiths28
 
3.0%
Hemograma normal_x001D_bioquimica-N26
 
2.7%
Hemograma normal_x001D_bioquimica-N_x001D_Longitudinal questionário respondido15
 
1.6%
Estudo GeNVIA13
 
1.4%
Griffiths/WISC13
 
1.4%
Hemograma normal_x001D_Longitudinal questionário enviado11
 
1.2%
Longitudinal questionário respondido10
 
1.1%
Other values (383)581
61.2%
(Missing)98
 
10.3%

HC
Real number (ℝ≥0)

MISSING
SKEWED

Distinct64
Distinct (%)8.3%
Missing179
Missing (%)18.9%
Infinite0
Infinite (%)0.0%
Mean37.9638961
Minimum10
Maximum2532
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:07.533635image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile32
Q134
median34.5
Q335.5
95-th percentile37
Maximum2532
Range2522
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation90.04701962
Coefficient of variation (CV)2.371911971
Kurtosis768.2393776
Mean37.9638961
Median Absolute Deviation (MAD)1
Skewness27.70156579
Sum29232.2
Variance8108.465743
MonotonicityNot monotonic
2022-12-16T17:31:07.699103image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35121
12.8%
34115
12.1%
3690
9.5%
34.579
8.3%
3366
 
7.0%
35.561
 
6.4%
33.538
 
4.0%
3729
 
3.1%
3225
 
2.6%
36.519
 
2.0%
Other values (54)127
13.4%
(Missing)179
18.9%
ValueCountFrequency (%)
101
0.1%
252
0.2%
261
0.1%
27.81
0.1%
28.52
0.2%
ValueCountFrequency (%)
25321
0.1%
752
0.2%
551
0.1%
511
0.1%
501
0.1%

PC_(ALTA)
Real number (ℝ≥0)

MISSING

Distinct26
Distinct (%)28.0%
Missing856
Missing (%)90.2%
Infinite0
Infinite (%)0.0%
Mean57.05913978
Minimum51.5
Maximum62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:07.847997image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum51.5
5-th percentile53.8
Q155.5
median57
Q358.5
95-th percentile60.2
Maximum62
Range10.5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.108741463
Coefficient of variation (CV)0.03695711976
Kurtosis-0.03314970051
Mean57.05913978
Median Absolute Deviation (MAD)1.5
Skewness-0.1921253115
Sum5306.5
Variance4.446790556
MonotonicityNot monotonic
2022-12-16T17:31:07.978806image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
5710
 
1.1%
5810
 
1.1%
56.58
 
0.8%
567
 
0.7%
58.57
 
0.7%
55.56
 
0.6%
596
 
0.6%
555
 
0.5%
59.55
 
0.5%
57.55
 
0.5%
Other values (16)24
 
2.5%
(Missing)856
90.2%
ValueCountFrequency (%)
51.51
0.1%
521
0.1%
52.51
0.1%
53.31
0.1%
53.51
0.1%
ValueCountFrequency (%)
621
 
0.1%
61.51
 
0.1%
612
0.2%
60.51
 
0.1%
603
0.3%

PC_12M
Real number (ℝ≥0)

MISSING

Distinct29
Distinct (%)38.7%
Missing874
Missing (%)92.1%
Infinite0
Infinite (%)0.0%
Mean47.31866667
Minimum44
Maximum50.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:08.422247image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum44
5-th percentile45.14
Q146.5
median47.5
Q348
95-th percentile49.5
Maximum50.5
Range6.5
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.375430481
Coefficient of variation (CV)0.02906739725
Kurtosis-0.02968429793
Mean47.31866667
Median Absolute Deviation (MAD)0.9
Skewness-0.1007279632
Sum3548.9
Variance1.891809009
MonotonicityNot monotonic
2022-12-16T17:31:08.550842image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
4814
 
1.5%
479
 
0.9%
48.56
 
0.6%
47.56
 
0.6%
46.55
 
0.5%
45.54
 
0.4%
464
 
0.4%
50.52
 
0.2%
492
 
0.2%
49.52
 
0.2%
Other values (19)21
 
2.2%
(Missing)874
92.1%
ValueCountFrequency (%)
441
0.1%
44.31
0.1%
44.51
0.1%
451
0.1%
45.21
0.1%
ValueCountFrequency (%)
50.52
0.2%
49.81
0.1%
49.52
0.2%
49.41
0.1%
49.31
0.1%

PC_15M
Real number (ℝ≥0)

MISSING

Distinct23
Distinct (%)33.3%
Missing880
Missing (%)92.7%
Infinite0
Infinite (%)0.0%
Mean48.25217391
Minimum45
Maximum52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:08.683447image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum45
5-th percentile46.12
Q147.7
median48
Q349
95-th percentile50.5
Maximum52
Range7
Interquartile range (IQR)1.3

Descriptive statistics

Standard deviation1.266492226
Coefficient of variation (CV)0.02624736096
Kurtosis1.079679952
Mean48.25217391
Median Absolute Deviation (MAD)0.5
Skewness0.4231559363
Sum3329.4
Variance1.604002558
MonotonicityNot monotonic
2022-12-16T17:31:08.806742image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
4819
 
2.0%
48.57
 
0.7%
497
 
0.7%
476
 
0.6%
50.54
 
0.4%
47.54
 
0.4%
49.53
 
0.3%
463
 
0.3%
48.32
 
0.2%
46.91
 
0.1%
Other values (13)13
 
1.4%
(Missing)880
92.7%
ValueCountFrequency (%)
451
 
0.1%
463
0.3%
46.31
 
0.1%
46.51
 
0.1%
46.91
 
0.1%
ValueCountFrequency (%)
521
 
0.1%
51.21
 
0.1%
511
 
0.1%
50.54
0.4%
49.53
0.3%

PC_18M
Real number (ℝ≥0)

MISSING

Distinct26
Distinct (%)35.6%
Missing876
Missing (%)92.3%
Infinite0
Infinite (%)0.0%
Mean48.98356164
Minimum46.5
Maximum54.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:08.945948image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum46.5
5-th percentile46.8
Q148
median49
Q349.7
95-th percentile51.4
Maximum54.5
Range8
Interquartile range (IQR)1.7

Descriptive statistics

Standard deviation1.439812266
Coefficient of variation (CV)0.02939378472
Kurtosis2.629957949
Mean48.98356164
Median Absolute Deviation (MAD)0.8
Skewness1.087791999
Sum3575.8
Variance2.073059361
MonotonicityNot monotonic
2022-12-16T17:31:09.074703image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
48.511
 
1.2%
4911
 
1.2%
488
 
0.8%
507
 
0.7%
49.55
 
0.5%
50.53
 
0.3%
49.33
 
0.3%
46.82
 
0.2%
472
 
0.2%
47.52
 
0.2%
Other values (16)19
 
2.0%
(Missing)876
92.3%
ValueCountFrequency (%)
46.51
0.1%
46.61
0.1%
46.71
0.1%
46.82
0.2%
472
0.2%
ValueCountFrequency (%)
54.51
0.1%
52.81
0.1%
52.51
0.1%
521
0.1%
512
0.2%

PC_24M
Real number (ℝ≥0)

MISSING

Distinct30
Distinct (%)39.5%
Missing873
Missing (%)92.0%
Infinite0
Infinite (%)0.0%
Mean49.94078947
Minimum47
Maximum53.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:09.211801image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum47
5-th percentile47.85
Q149
median50
Q350.8
95-th percentile52.15
Maximum53.5
Range6.5
Interquartile range (IQR)1.8

Descriptive statistics

Standard deviation1.350375516
Coefficient of variation (CV)0.02703953082
Kurtosis0.1113887609
Mean49.94078947
Median Absolute Deviation (MAD)1
Skewness0.2692344449
Sum3795.5
Variance1.823514035
MonotonicityNot monotonic
2022-12-16T17:31:09.335534image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
49.511
 
1.2%
508
 
0.8%
50.58
 
0.8%
518
 
0.8%
497
 
0.7%
524
 
0.4%
48.53
 
0.3%
482
 
0.2%
48.72
 
0.2%
50.82
 
0.2%
Other values (20)21
 
2.2%
(Missing)873
92.0%
ValueCountFrequency (%)
471
0.1%
47.21
0.1%
47.51
0.1%
47.71
0.1%
47.91
0.1%
ValueCountFrequency (%)
53.51
 
0.1%
531
 
0.1%
52.81
 
0.1%
52.61
 
0.1%
524
0.4%

PC_2M
Real number (ℝ≥0)

MISSING

Distinct22
Distinct (%)28.6%
Missing872
Missing (%)91.9%
Infinite0
Infinite (%)0.0%
Mean39.33376623
Minimum28.5
Maximum46.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:09.465075image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum28.5
5-th percentile36.9
Q138.5
median39.5
Q340
95-th percentile42
Maximum46.5
Range18
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation2.105669689
Coefficient of variation (CV)0.05353338596
Kurtosis10.01356783
Mean39.33376623
Median Absolute Deviation (MAD)1
Skewness-1.544664248
Sum3028.7
Variance4.433844839
MonotonicityNot monotonic
2022-12-16T17:31:09.584733image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
4015
 
1.6%
39.512
 
1.3%
388
 
0.8%
38.57
 
0.7%
416
 
0.6%
395
 
0.5%
423
 
0.3%
40.53
 
0.3%
41.53
 
0.3%
37.53
 
0.3%
Other values (12)12
 
1.3%
(Missing)872
91.9%
ValueCountFrequency (%)
28.51
0.1%
34.31
0.1%
34.51
0.1%
36.51
0.1%
371
0.1%
ValueCountFrequency (%)
46.51
 
0.1%
42.51
 
0.1%
423
0.3%
41.53
0.3%
416
0.6%

PC_36M
Real number (ℝ≥0)

MISSING

Distinct23
Distinct (%)31.9%
Missing877
Missing (%)92.4%
Infinite0
Infinite (%)0.0%
Mean51.0125
Minimum48
Maximum55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:09.717927image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum48
5-th percentile49
Q150
median51
Q352
95-th percentile53.225
Maximum55
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.337954872
Coefficient of variation (CV)0.02622798083
Kurtosis0.5890816302
Mean51.0125
Median Absolute Deviation (MAD)1
Skewness0.3400900836
Sum3672.9
Variance1.790123239
MonotonicityNot monotonic
2022-12-16T17:31:09.839350image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
5012
 
1.3%
5112
 
1.3%
528
 
0.8%
50.57
 
0.7%
49.54
 
0.4%
51.54
 
0.4%
533
 
0.3%
52.53
 
0.3%
51.82
 
0.2%
482
 
0.2%
Other values (13)15
 
1.6%
(Missing)877
92.4%
ValueCountFrequency (%)
482
0.2%
48.51
 
0.1%
492
0.2%
49.54
0.4%
49.81
 
0.1%
ValueCountFrequency (%)
551
 
0.1%
541
 
0.1%
53.81
 
0.1%
53.51
 
0.1%
533
0.3%

PC_4M
Real number (ℝ≥0)

MISSING

Distinct22
Distinct (%)28.9%
Missing873
Missing (%)92.0%
Infinite0
Infinite (%)0.0%
Mean42.55789474
Minimum38
Maximum63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:09.968952image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum38
5-th percentile39.9
Q141.5
median42.5
Q343
95-th percentile44.4
Maximum63
Range25
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation2.854155481
Coefficient of variation (CV)0.06706524133
Kurtosis35.55199388
Mean42.55789474
Median Absolute Deviation (MAD)1
Skewness5.020057118
Sum3234.4
Variance8.146203509
MonotonicityNot monotonic
2022-12-16T17:31:10.090082image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
4212
 
1.3%
4312
 
1.3%
42.511
 
1.2%
447
 
0.7%
41.55
 
0.5%
414
 
0.4%
43.54
 
0.4%
41.33
 
0.3%
382
 
0.2%
40.52
 
0.2%
Other values (12)14
 
1.5%
(Missing)873
92.0%
ValueCountFrequency (%)
382
0.2%
39.51
0.1%
39.61
0.1%
402
0.2%
40.21
0.1%
ValueCountFrequency (%)
631
 
0.1%
491
 
0.1%
452
 
0.2%
44.21
 
0.1%
447
0.7%

PC_6M
Real number (ℝ≥0)

MISSING

Distinct27
Distinct (%)35.1%
Missing872
Missing (%)91.9%
Infinite0
Infinite (%)0.0%
Mean44.30519481
Minimum39.5
Maximum49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:10.218472image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum39.5
5-th percentile42
Q143.5
median44.2
Q345
95-th percentile46.5
Maximum49
Range9.5
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.481188721
Coefficient of variation (CV)0.03343149099
Kurtosis1.579110336
Mean44.30519481
Median Absolute Deviation (MAD)0.8
Skewness-0.06515969428
Sum3411.5
Variance2.193920027
MonotonicityNot monotonic
2022-12-16T17:31:10.344393image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
4412
 
1.3%
459
 
0.9%
44.58
 
0.8%
43.58
 
0.8%
465
 
0.5%
45.54
 
0.4%
433
 
0.3%
46.53
 
0.3%
42.53
 
0.3%
44.23
 
0.3%
Other values (17)19
 
2.0%
(Missing)872
91.9%
ValueCountFrequency (%)
39.51
 
0.1%
411
 
0.1%
423
0.3%
42.11
 
0.1%
42.21
 
0.1%
ValueCountFrequency (%)
491
 
0.1%
47.51
 
0.1%
46.81
 
0.1%
46.53
0.3%
465
0.5%

PC_9M
Real number (ℝ≥0)

MISSING

Distinct25
Distinct (%)33.8%
Missing875
Missing (%)92.2%
Infinite0
Infinite (%)0.0%
Mean46.07297297
Minimum43
Maximum49.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:10.468282image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum43
5-th percentile43.86
Q145.3
median46
Q347
95-th percentile48
Maximum49.5
Range6.5
Interquartile range (IQR)1.7

Descriptive statistics

Standard deviation1.303556494
Coefficient of variation (CV)0.02829330104
Kurtosis0.04456611544
Mean46.07297297
Median Absolute Deviation (MAD)1
Skewness-0.04350558322
Sum3409.4
Variance1.699259534
MonotonicityNot monotonic
2022-12-16T17:31:10.588887image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
4616
 
1.7%
479
 
0.9%
47.56
 
0.6%
456
 
0.6%
45.55
 
0.5%
484
 
0.4%
443
 
0.3%
44.53
 
0.3%
46.53
 
0.3%
45.32
 
0.2%
Other values (15)17
 
1.8%
(Missing)875
92.2%
ValueCountFrequency (%)
431
 
0.1%
43.52
0.2%
43.61
 
0.1%
443
0.3%
44.31
 
0.1%
ValueCountFrequency (%)
49.51
 
0.1%
491
 
0.1%
484
0.4%
47.71
 
0.1%
47.56
0.6%

PC__P
Real number (ℝ≥0)

MISSING

Distinct84
Distinct (%)11.3%
Missing205
Missing (%)21.6%
Infinite0
Infinite (%)0.0%
Mean53.2827957
Minimum5
Maximum95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:10.743202image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile48
Q150
median52
Q354
95-th percentile75
Maximum95
Range90
Interquartile range (IQR)4

Descriptive statistics

Standard deviation8.857202724
Coefficient of variation (CV)0.1662300675
Kurtosis12.28665109
Mean53.2827957
Median Absolute Deviation (MAD)2
Skewness1.813810204
Sum39642.4
Variance78.45004009
MonotonicityNot monotonic
2022-12-16T17:31:10.886107image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5083
 
8.7%
5270
 
7.4%
5153
 
5.6%
5440
 
4.2%
5337
 
3.9%
52.534
 
3.6%
50.530
 
3.2%
49.527
 
2.8%
51.526
 
2.7%
4925
 
2.6%
Other values (74)319
33.6%
(Missing)205
21.6%
ValueCountFrequency (%)
51
 
0.1%
102
 
0.2%
258
0.8%
451
 
0.1%
45.52
 
0.2%
ValueCountFrequency (%)
959
0.9%
9011
1.2%
7520
2.1%
60.51
 
0.1%
60.21
 
0.1%

PDD_N/E
Categorical

MISSING

Distinct3
Distinct (%)0.6%
Missing422
Missing (%)44.5%
Memory size7.5 KiB
N
494 
S
 
31
±
 
2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowN
2nd rowN
3rd rowN
4th rowN
5th rowN

Common Values

ValueCountFrequency (%)
N494
52.1%
S31
 
3.3%
±2
 
0.2%
(Missing)422
44.5%

PS_WISCIII
Real number (ℝ≥0)

MISSING

Distinct18
Distinct (%)8.8%
Missing745
Missing (%)78.5%
Infinite0
Infinite (%)0.0%
Mean7.833333333
Minimum1
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:11.012038image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15.75
median8
Q310
95-th percentile14
Maximum19
Range18
Interquartile range (IQR)4.25

Descriptive statistics

Standard deviation3.616010739
Coefficient of variation (CV)0.4616183922
Kurtosis-0.09826258554
Mean7.833333333
Median Absolute Deviation (MAD)2
Skewness0.1064931855
Sum1598
Variance13.07553366
MonotonicityNot monotonic
2022-12-16T17:31:11.120486image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
827
 
2.8%
926
 
2.7%
725
 
2.6%
519
 
2.0%
617
 
1.8%
1114
 
1.5%
113
 
1.4%
1012
 
1.3%
1211
 
1.2%
1411
 
1.2%
Other values (8)29
 
3.1%
(Missing)745
78.5%
ValueCountFrequency (%)
113
1.4%
27
 
0.7%
36
 
0.6%
46
 
0.6%
519
2.0%
ValueCountFrequency (%)
191
 
0.1%
171
 
0.1%
161
 
0.1%
152
 
0.2%
1411
1.2%

Pai_DN
Categorical

HIGH CARDINALITY
MISSING

Distinct743
Distinct (%)94.9%
Missing166
Missing (%)17.5%
Memory size7.5 KiB
1962.01.01
 
4
1956.01.01
 
4
1965.01.01
 
3
1957.01.01
 
3
1955.01.01
 
2
Other values (738)
767 

Unique

Unique709 ?
Unique (%)90.5%

Sample

1st row1947-03-03 00:00:00
2nd row1960.01.01
3rd row1962-02-08 00:00:00
4th row1964-02-01 00:00:00
5th row1970.01.01

Common Values

ValueCountFrequency (%)
1962.01.014
 
0.4%
1956.01.014
 
0.4%
1965.01.013
 
0.3%
1957.01.013
 
0.3%
1955.01.012
 
0.2%
1968-07-31 00:00:002
 
0.2%
1971-12-19 00:00:002
 
0.2%
1962-03-23 00:00:002
 
0.2%
1954-10-27 00:00:002
 
0.2%
1967-05-17 00:00:002
 
0.2%
Other values (733)757
79.8%
(Missing)166
 
17.5%

Pai_Estado_civil
Categorical

MISSING

Distinct4
Distinct (%)0.6%
Missing249
Missing (%)26.2%
Memory size7.5 KiB
Cas.
585 
Divor.
105 
Solt.
 
8
Viuvo
 
2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCas.
2nd rowCas.
3rd rowCas.
4th rowCas.
5th rowDivor.

Common Values

ValueCountFrequency (%)
Cas.585
61.6%
Divor.105
 
11.1%
Solt.8
 
0.8%
Viuvo2
 
0.2%
(Missing)249
26.2%

Pai_Raça
Categorical

MISSING

Distinct18
Distinct (%)2.7%
Missing273
Missing (%)28.8%
Memory size7.5 KiB
Caucasiano
608 
B
 
43
Africano
 
10
29
 
1
37A
 
1
Other values (13)
 
13

Unique

Unique15 ?
Unique (%)2.2%

Sample

1st rowCaucasiano
2nd rowB
3rd rowCaucasiano
4th rowCaucasiano
5th rowB

Common Values

ValueCountFrequency (%)
Caucasiano608
64.1%
B43
 
4.5%
Africano10
 
1.1%
291
 
0.1%
37A1
 
0.1%
40A1
 
0.1%
29A1
 
0.1%
38A1
 
0.1%
33A1
 
0.1%
43A1
 
0.1%
Other values (8)8
 
0.8%
(Missing)273
28.8%

Pai_nível_académico
Categorical

MISSING

Distinct29
Distinct (%)3.3%
Missing75
Missing (%)7.9%
Memory size7.5 KiB
Licenc
168 
12º ano
150 
9º ano
124 
Básico 1º
75 
6º ano
70 
Other values (24)
287 

Unique

Unique5 ?
Unique (%)0.6%

Sample

1st rowBásico 1º
2nd rowSuperior
3rd rowBásico3º
4th rowBásico2º
5th rowBásico2º

Common Values

ValueCountFrequency (%)
Licenc168
17.7%
12º ano150
15.8%
9º ano124
13.1%
Básico 1º75
7.9%
6º ano70
7.4%
Secundário40
 
4.2%
4º ano37
 
3.9%
Básico2º37
 
3.9%
Superior25
 
2.6%
Básico3º25
 
2.6%
Other values (19)123
13.0%
(Missing)75
7.9%

Pai_outras_doenças
Categorical

MISSING

Distinct44
Distinct (%)17.2%
Missing693
Missing (%)73.0%
Memory size7.5 KiB
Não
207 
HTA
 
2
Sim_x001D_diabetes insulino
 
2
Sim_x001D_asma
 
2
Sim_x001D_Alergias
 
2
Other values (39)
41 

Unique

Unique37 ?
Unique (%)14.5%

Sample

1st rowHTA
2nd rowNão
3rd rowNão
4th rowNão
5th rowNão

Common Values

ValueCountFrequency (%)
Não207
 
21.8%
HTA2
 
0.2%
Sim_x001D_diabetes insulino2
 
0.2%
Sim_x001D_asma2
 
0.2%
Sim_x001D_Alergias2
 
0.2%
Psoriase2
 
0.2%
FALECEU2
 
0.2%
Sim_x001D_D hereditária Familiar- Qual?1
 
0.1%
Ver HC_x001D_Fumador1
 
0.1%
TCE_x001D_Epilepsia1
 
0.1%
Other values (34)34
 
3.6%
(Missing)693
73.0%

Pai_preferência_mão
Categorical

MISSING

Distinct5
Distinct (%)0.6%
Missing150
Missing (%)15.8%
Memory size7.5 KiB
Dta
735 
Esq
 
50
Eda
 
6
Ind
 
6
??
 
2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowDta
2nd rowDta
3rd rowDta
4th rowDta
5th rowDta

Common Values

ValueCountFrequency (%)
Dta735
77.4%
Esq50
 
5.3%
Eda6
 
0.6%
Ind6
 
0.6%
??2
 
0.2%
(Missing)150
 
15.8%

Pai_problemas_DPM
Categorical

MISSING

Distinct19
Distinct (%)2.1%
Missing23
Missing (%)2.4%
Memory size7.5 KiB
Não
865 
Sim_x001D_Dificuldade de aprendizagem
 
16
Dificuldade de aprendizagem_x001D_Sim
 
11
Dificuldade de aprendizagem
 
7
Sim
 
7
Other values (14)
 
20

Unique

Unique9 ?
Unique (%)1.0%

Sample

1st rowNão
2nd rowNão
3rd rowNão
4th rowNão
5th rowNão

Common Values

ValueCountFrequency (%)
Não865
91.1%
Sim_x001D_Dificuldade de aprendizagem16
 
1.7%
Dificuldade de aprendizagem_x001D_Sim11
 
1.2%
Dificuldade de aprendizagem7
 
0.7%
Sim7
 
0.7%
_x001D_Não3
 
0.3%
Epilepsia2
 
0.2%
Sim_x001D_Atraso linguagem2
 
0.2%
Epilepsia_x001D_Sim2
 
0.2%
Sim_x001D_Epilepsia2
 
0.2%
Other values (9)9
 
0.9%
(Missing)23
 
2.4%

Pai_profissão
Categorical

HIGH CARDINALITY
MISSING

Distinct328
Distinct (%)38.5%
Missing97
Missing (%)10.2%
Memory size7.5 KiB
Pedreiro
 
43
Motorista
 
34
Engenheiro
 
31
Desempregado
 
27
Operário
 
25
Other values (323)
692 

Unique

Unique227 ?
Unique (%)26.6%

Sample

1st rowComerciante
2nd rowProfessor secundário
3rd rowMotorista
4th rowVendedor
5th rowDesigner ceramico

Common Values

ValueCountFrequency (%)
Pedreiro43
 
4.5%
Motorista34
 
3.6%
Engenheiro31
 
3.3%
Desempregado27
 
2.8%
Operário25
 
2.6%
Vendedor24
 
2.5%
Comerciante22
 
2.3%
Professor20
 
2.1%
Empresário20
 
2.1%
Militar15
 
1.6%
Other values (318)591
62.3%
(Missing)97
 
10.2%

Pai_psicopatologia
Categorical

MISSING

Distinct36
Distinct (%)3.9%
Missing21
Missing (%)2.2%
Memory size7.5 KiB
Não
870 
Sim_x001D_Alcoolismo
 
6
Sim_x001D_Perturbações depressivas
 
4
Sim_x001D_Perturbações da ansiedade
 
4
Sim_x001D_Esquizofrenia
 
4
Other values (31)
 
40

Unique

Unique23 ?
Unique (%)2.5%

Sample

1st rowPerturbações depressivas_x001D_Sim
2nd rowNão
3rd rowNão
4th rowNão
5th rowNão

Common Values

ValueCountFrequency (%)
Não870
91.7%
Sim_x001D_Alcoolismo6
 
0.6%
Sim_x001D_Perturbações depressivas4
 
0.4%
Sim_x001D_Perturbações da ansiedade4
 
0.4%
Sim_x001D_Esquizofrenia4
 
0.4%
Sim3
 
0.3%
Perturbações depressivas_x001D_Sim2
 
0.2%
Sim_x001D_Perturbações bipolares2
 
0.2%
Perturbações depressivas2
 
0.2%
Não_x001D_ 2
 
0.2%
Other values (26)29
 
3.1%
(Missing)21
 
2.2%

Parto_Hospitalar
Categorical

MISSING

Distinct2
Distinct (%)0.2%
Missing67
Missing (%)7.1%
Memory size7.5 KiB
S
864 
N
 
18

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowS
2nd rowS
3rd rowS
4th rowS
5th rowS

Common Values

ValueCountFrequency (%)
S864
91.0%
N18
 
1.9%
(Missing)67
 
7.1%

Parto_Para
Categorical

MISSING

Distinct15
Distinct (%)1.6%
Missing14
Missing (%)1.5%
Memory size7.5 KiB
I
478 
II
300 
III
77 
1
 
36
2
 
17
Other values (10)
 
27

Unique

Unique6 ?
Unique (%)0.6%

Sample

1st rowIII
2nd rowII
3rd rowII
4th rowI
5th rowI

Common Values

ValueCountFrequency (%)
I478
50.4%
II300
31.6%
III77
 
8.1%
136
 
3.8%
217
 
1.8%
IV13
 
1.4%
VII3
 
0.3%
33
 
0.3%
V2
 
0.2%
X1
 
0.1%
Other values (5)5
 
0.5%
(Missing)14
 
1.5%

Parto_Problemas
Categorical

MISSING

Distinct44
Distinct (%)4.9%
Missing44
Missing (%)4.6%
Memory size7.5 KiB
Não
836 
Sim
 
9
Sim_x001D_SFA
 
8
desc
 
4
Sim_x001D_Asfixia
 
4
Other values (39)
 
44

Unique

Unique34 ?
Unique (%)3.8%

Sample

1st rowNão
2nd rowDistocia de ombros_x001D_Paralisia plexo braquial_x001D_Sim
3rd rowdesc
4th rowNão
5th rowNão

Common Values

ValueCountFrequency (%)
Não836
88.1%
Sim9
 
0.9%
Sim_x001D_SFA8
 
0.8%
desc4
 
0.4%
Sim_x001D_Asfixia4
 
0.4%
Asfixia2
 
0.2%
SFA2
 
0.2%
Sim_x001D_Distócico2
 
0.2%
circular apertada 2
 
0.2%
Sim_x001D_Suspeita de sepsis e TTRN com boa evolução2
 
0.2%
Other values (34)34
 
3.6%
(Missing)44
 
4.6%

Parto_Reanimação
Categorical

MISSING

Distinct4
Distinct (%)0.4%
Missing60
Missing (%)6.3%
Memory size7.5 KiB
Não
769 
N
78 
Ambu
 
31
TET
 
11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNão
2nd rowNão
3rd rowNão
4th rowNão
5th rowNão

Common Values

ValueCountFrequency (%)
Não769
81.0%
N78
 
8.2%
Ambu31
 
3.3%
TET11
 
1.2%
(Missing)60
 
6.3%

Parto_Tipo
Categorical

MISSING

Distinct5
Distinct (%)0.5%
Missing29
Missing (%)3.1%
Memory size7.5 KiB
N
449 
C
322 
V
82 
F
53 
P
 
14

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowN
2nd rowN
3rd rowF
4th rowC
5th rowN

Common Values

ValueCountFrequency (%)
N449
47.3%
C322
33.9%
V82
 
8.6%
F53
 
5.6%
P14
 
1.5%
(Missing)29
 
3.1%

Peso_
Real number (ℝ≥0)

MISSING

Distinct327
Distinct (%)37.0%
Missing66
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean3315.240306
Minimum3.19
Maximum35505
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:11.285046image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum3.19
5-th percentile2245.5
Q13000
median3280
Q33600
95-th percentile4069
Maximum35505
Range35501.81
Interquartile range (IQR)600

Descriptive statistics

Standard deviation1600.700014
Coefficient of variation (CV)0.4828307652
Kurtosis326.0981304
Mean3315.240306
Median Absolute Deviation (MAD)300
Skewness16.69483423
Sum2927357.19
Variance2562240.533
MonotonicityNot monotonic
2022-12-16T17:31:11.439973image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
300017
 
1.8%
320016
 
1.7%
325015
 
1.6%
335015
 
1.6%
305012
 
1.3%
380012
 
1.3%
330012
 
1.3%
350012
 
1.3%
310011
 
1.2%
315011
 
1.2%
Other values (317)750
79.0%
(Missing)66
 
7.0%
ValueCountFrequency (%)
3.191
0.1%
251
0.1%
501
0.1%
751
0.1%
3501
0.1%
ValueCountFrequency (%)
355051
0.1%
333901
0.1%
51901
0.1%
49301
0.1%
48501
0.1%

Peso_(ALTA)
Real number (ℝ≥0)

MISSING

Distinct80
Distinct (%)82.5%
Missing852
Missing (%)89.8%
Infinite0
Infinite (%)0.0%
Mean72.98865979
Minimum1.8
Maximum171
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:11.605436image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1.8
5-th percentile32.4
Q159
median71
Q385
95-th percentile103.68
Maximum171
Range169.2
Interquartile range (IQR)26

Descriptive statistics

Standard deviation24.99272343
Coefficient of variation (CV)0.3424192675
Kurtosis2.826430918
Mean72.98865979
Median Absolute Deviation (MAD)14
Skewness0.5664117072
Sum7079.9
Variance624.6362242
MonotonicityNot monotonic
2022-12-16T17:31:11.772612image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
705
 
0.5%
793
 
0.3%
782
 
0.2%
602
 
0.2%
682
 
0.2%
852
 
0.2%
632
 
0.2%
79.62
 
0.2%
432
 
0.2%
1022
 
0.2%
Other values (70)73
 
7.7%
(Missing)852
89.8%
ValueCountFrequency (%)
1.81
0.1%
161
0.1%
261
0.1%
27.41
0.1%
281
0.1%
ValueCountFrequency (%)
1711
0.1%
1531
0.1%
1251
0.1%
1101
0.1%
1041
0.1%

Peso_12M
Real number (ℝ≥0)

MISSING

Distinct68
Distinct (%)90.7%
Missing874
Missing (%)92.1%
Infinite0
Infinite (%)0.0%
Mean9738.422667
Minimum10
Maximum12990
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:11.939506image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile7311
Q19215
median10050
Q310915
95-th percentile12039
Maximum12990
Range12980
Interquartile range (IQR)1700

Descriptive statistics

Standard deviation2322.532352
Coefficient of variation (CV)0.2384916358
Kurtosis10.72951165
Mean9738.422667
Median Absolute Deviation (MAD)860
Skewness-2.967730292
Sum730381.7
Variance5394156.526
MonotonicityNot monotonic
2022-12-16T17:31:12.112693image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102003
 
0.3%
91502
 
0.2%
122002
 
0.2%
99002
 
0.2%
107002
 
0.2%
110602
 
0.2%
86001
 
0.1%
98001
 
0.1%
107701
 
0.1%
109001
 
0.1%
Other values (58)58
 
6.1%
(Missing)874
92.1%
ValueCountFrequency (%)
101
0.1%
10.71
0.1%
111
0.1%
58201
0.1%
79501
0.1%
ValueCountFrequency (%)
129901
0.1%
122901
0.1%
122002
0.2%
119701
0.1%
118801
0.1%

Peso_15M
Real number (ℝ≥0)

MISSING

Distinct60
Distinct (%)85.7%
Missing879
Missing (%)92.6%
Infinite0
Infinite (%)0.0%
Mean10841.50571
Minimum10.4
Maximum14000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:12.278465image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum10.4
5-th percentile9054
Q110100
median10985
Q311800
95-th percentile12955.5
Maximum14000
Range13989.6
Interquartile range (IQR)1700

Descriptive statistics

Standard deviation1839.172004
Coefficient of variation (CV)0.1696417501
Kurtosis16.94315448
Mean10841.50571
Median Absolute Deviation (MAD)850
Skewness-3.03690016
Sum758905.4
Variance3382553.659
MonotonicityNot monotonic
2022-12-16T17:31:12.435152image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
107003
 
0.3%
110402
 
0.2%
117002
 
0.2%
118002
 
0.2%
106002
 
0.2%
95002
 
0.2%
105202
 
0.2%
101002
 
0.2%
115002
 
0.2%
123801
 
0.1%
Other values (50)50
 
5.3%
(Missing)879
92.6%
ValueCountFrequency (%)
10.41
0.1%
64001
0.1%
89001
0.1%
90001
0.1%
91201
0.1%
ValueCountFrequency (%)
140001
0.1%
138001
0.1%
131001
0.1%
129601
0.1%
129501
0.1%

Peso_18M
Real number (ℝ≥0)

MISSING

Distinct62
Distinct (%)84.9%
Missing876
Missing (%)92.3%
Infinite0
Infinite (%)0.0%
Mean11243.91
Minimum9.8
Maximum14310
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:12.605834image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum9.8
5-th percentile8568
Q110600
median11560
Q312800
95-th percentile13740
Maximum14310
Range14300.2
Interquartile range (IQR)2200

Descriptive statistics

Standard deviation2663.285993
Coefficient of variation (CV)0.2368647555
Kurtosis11.44881686
Mean11243.91
Median Absolute Deviation (MAD)960
Skewness-3.134340156
Sum820805.43
Variance7093092.279
MonotonicityNot monotonic
2022-12-16T17:31:12.756908image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
115003
 
0.3%
128003
 
0.3%
103003
 
0.3%
123002
 
0.2%
106002
 
0.2%
125002
 
0.2%
118602
 
0.2%
130002
 
0.2%
113601
 
0.1%
114451
 
0.1%
Other values (52)52
 
5.5%
(Missing)876
92.3%
ValueCountFrequency (%)
9.81
0.1%
11.81
0.1%
13.831
0.1%
69301
0.1%
96601
0.1%
ValueCountFrequency (%)
143101
0.1%
139901
0.1%
138101
0.1%
138001
0.1%
137001
0.1%

Peso_24M
Real number (ℝ≥0)

MISSING

Distinct58
Distinct (%)76.3%
Missing873
Missing (%)92.0%
Infinite0
Infinite (%)0.0%
Mean11898.53947
Minimum12.5
Maximum15990
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:12.920674image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum12.5
5-th percentile14.75
Q111775
median12800
Q313612.5
95-th percentile15162.5
Maximum15990
Range15977.5
Interquartile range (IQR)1837.5

Descriptive statistics

Standard deviation3763.473928
Coefficient of variation (CV)0.3162971335
Kurtosis5.624192782
Mean11898.53947
Median Absolute Deviation (MAD)975
Skewness-2.475323933
Sum904289
Variance14163736.01
MonotonicityNot monotonic
2022-12-16T17:31:13.073852image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
135005
 
0.5%
125003
 
0.3%
140003
 
0.3%
128003
 
0.3%
118002
 
0.2%
118502
 
0.2%
132002
 
0.2%
112002
 
0.2%
119002
 
0.2%
132
 
0.2%
Other values (48)50
 
5.3%
(Missing)873
92.0%
ValueCountFrequency (%)
12.51
0.1%
132
0.2%
141
0.1%
151
0.1%
16.51
0.1%
ValueCountFrequency (%)
159901
0.1%
155501
0.1%
152002
0.2%
151501
0.1%
151101
0.1%

Peso_2M
Real number (ℝ≥0)

MISSING

Distinct64
Distinct (%)82.1%
Missing871
Missing (%)91.8%
Infinite0
Infinite (%)0.0%
Mean5227.589744
Minimum1200
Maximum7770
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:13.239324image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1200
5-th percentile4095.5
Q14677.5
median5280
Q35737.5
95-th percentile6422.5
Maximum7770
Range6570
Interquartile range (IQR)1060

Descriptive statistics

Standard deviation882.2967436
Coefficient of variation (CV)0.1687769674
Kurtosis5.115891753
Mean5227.589744
Median Absolute Deviation (MAD)565
Skewness-0.8910893617
Sum407752
Variance778447.5438
MonotonicityNot monotonic
2022-12-16T17:31:13.394610image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60003
 
0.3%
49002
 
0.2%
44402
 
0.2%
46402
 
0.2%
44002
 
0.2%
54502
 
0.2%
57502
 
0.2%
55502
 
0.2%
52402
 
0.2%
53002
 
0.2%
Other values (54)57
 
6.0%
(Missing)871
91.8%
ValueCountFrequency (%)
12001
0.1%
35201
0.1%
37001
0.1%
40701
0.1%
41001
0.1%
ValueCountFrequency (%)
77701
0.1%
70501
0.1%
66401
0.1%
65501
0.1%
64001
0.1%

Peso_36M
Real number (ℝ≥0)

MISSING

Distinct53
Distinct (%)70.7%
Missing874
Missing (%)92.1%
Infinite0
Infinite (%)0.0%
Mean10825.78267
Minimum12.7
Maximum18900
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:13.559709image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum12.7
5-th percentile15
Q119
median14140
Q315300
95-th percentile17360
Maximum18900
Range18887.3
Interquartile range (IQR)15281

Descriptive statistics

Standard deviation6884.673845
Coefficient of variation (CV)0.6359516034
Kurtosis-1.087058502
Mean10825.78267
Median Absolute Deviation (MAD)1860
Skewness-0.8659577418
Sum811933.7
Variance47398733.95
MonotonicityNot monotonic
2022-12-16T17:31:13.718935image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
185
 
0.5%
145004
 
0.4%
135003
 
0.3%
140003
 
0.3%
152003
 
0.3%
162002
 
0.2%
170002
 
0.2%
16.52
 
0.2%
153002
 
0.2%
144002
 
0.2%
Other values (43)47
 
5.0%
(Missing)874
92.1%
ValueCountFrequency (%)
12.71
0.1%
13.21
0.1%
141
0.1%
152
0.2%
15.91
0.1%
ValueCountFrequency (%)
189001
0.1%
180001
0.1%
178001
0.1%
175001
0.1%
173001
0.1%

Peso_4M
Real number (ℝ≥0)

MISSING

Distinct71
Distinct (%)92.2%
Missing872
Missing (%)91.9%
Infinite0
Infinite (%)0.0%
Mean6901.623377
Minimum3080
Maximum9140
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:13.890326image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum3080
5-th percentile5456
Q16380
median6870
Q37450
95-th percentile8606
Maximum9140
Range6060
Interquartile range (IQR)1070

Descriptive statistics

Standard deviation1012.435651
Coefficient of variation (CV)0.1466952913
Kurtosis1.923359055
Mean6901.623377
Median Absolute Deviation (MAD)570
Skewness-0.408889824
Sum531425
Variance1025025.948
MonotonicityNot monotonic
2022-12-16T17:31:14.043425image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
66003
 
0.3%
71102
 
0.2%
64002
 
0.2%
68002
 
0.2%
68302
 
0.2%
60401
 
0.1%
63801
 
0.1%
70001
 
0.1%
80501
 
0.1%
59301
 
0.1%
Other values (61)61
 
6.4%
(Missing)872
91.9%
ValueCountFrequency (%)
30801
0.1%
46801
0.1%
53601
0.1%
54001
0.1%
54701
0.1%
ValueCountFrequency (%)
91401
0.1%
91001
0.1%
87651
0.1%
86301
0.1%
86001
0.1%

Peso_6M
Real number (ℝ≥0)

MISSING

Distinct69
Distinct (%)89.6%
Missing872
Missing (%)91.9%
Infinite0
Infinite (%)0.0%
Mean7849.305195
Minimum7.5
Maximum11000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:14.211242image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum7.5
5-th percentile6230
Q17300
median8000
Q38580
95-th percentile9900
Maximum11000
Range10992.5
Interquartile range (IQR)1280

Descriptive statistics

Standard deviation1691.257124
Coefficient of variation (CV)0.2154658383
Kurtosis10.96723183
Mean7849.305195
Median Absolute Deviation (MAD)600
Skewness-2.604936165
Sum604396.5
Variance2860350.659
MonotonicityNot monotonic
2022-12-16T17:31:14.362742image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
73004
 
0.4%
76003
 
0.3%
81002
 
0.2%
78702
 
0.2%
84302
 
0.2%
62451
 
0.1%
92801
 
0.1%
79801
 
0.1%
87501
 
0.1%
89401
 
0.1%
Other values (59)59
 
6.2%
(Missing)872
91.9%
ValueCountFrequency (%)
7.51
0.1%
91
0.1%
39101
0.1%
61701
0.1%
62451
0.1%
ValueCountFrequency (%)
110001
0.1%
103501
0.1%
102001
0.1%
100601
0.1%
98601
0.1%

Peso_9M
Real number (ℝ≥0)

MISSING

Distinct68
Distinct (%)90.7%
Missing874
Missing (%)92.1%
Infinite0
Infinite (%)0.0%
Mean8813.946667
Minimum10
Maximum12410
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:14.907018image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile6530
Q18385
median9100
Q39895
95-th percentile11074
Maximum12410
Range12400
Interquartile range (IQR)1510

Descriptive statistics

Standard deviation2141.080833
Coefficient of variation (CV)0.2429196492
Kurtosis9.681541989
Mean8813.946667
Median Absolute Deviation (MAD)760
Skewness-2.731378485
Sum661046
Variance4584227.132
MonotonicityNot monotonic
2022-12-16T17:31:15.070801image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
91003
 
0.3%
91202
 
0.2%
93202
 
0.2%
72602
 
0.2%
95602
 
0.2%
81202
 
0.2%
113001
 
0.1%
77001
 
0.1%
105001
 
0.1%
93501
 
0.1%
Other values (58)58
 
6.1%
(Missing)874
92.1%
ValueCountFrequency (%)
101
0.1%
111
0.1%
1051
0.1%
52001
0.1%
71001
0.1%
ValueCountFrequency (%)
124101
0.1%
113001
0.1%
111401
0.1%
111301
0.1%
110501
0.1%

Peso_P
Real number (ℝ≥0)

MISSING

Distinct285
Distinct (%)36.3%
Missing163
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean1722.530153
Minimum5
Maximum26600
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:15.230814image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile12.5
Q116.025
median24
Q360
95-th percentile14126.25
Maximum26600
Range26595
Interquartile range (IQR)43.975

Descriptive statistics

Standard deviation4706.477319
Coefficient of variation (CV)2.73230475
Kurtosis5.79770664
Mean1722.530153
Median Absolute Deviation (MAD)10.3
Skewness2.643695423
Sum1353908.7
Variance22150928.75
MonotonicityNot monotonic
2022-12-16T17:31:15.400547image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5040
 
4.2%
7532
 
3.4%
1724
 
2.5%
1522
 
2.3%
1621
 
2.2%
9019
 
2.0%
2518
 
1.9%
1918
 
1.9%
1817
 
1.8%
9517
 
1.8%
Other values (275)558
58.8%
(Missing)163
 
17.2%
ValueCountFrequency (%)
56
0.6%
9.61
 
0.1%
108
0.8%
10.51
 
0.1%
111
 
0.1%
ValueCountFrequency (%)
266001
0.1%
235001
0.1%
227001
0.1%
213001
0.1%
204501
0.1%

Ponto_redox_plasmático
Categorical

MISSING

Distinct2
Distinct (%)0.3%
Missing346
Missing (%)36.5%
Memory size7.5 KiB
S
434 
N
169 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowS
2nd rowS
3rd rowS
4th rowS
5th rowS

Common Values

ValueCountFrequency (%)
S434
45.7%
N169
 
17.8%
(Missing)346
36.5%

Primeira_consulta_autismo-desenv.
Categorical

HIGH CARDINALITY
MISSING

Distinct833
Distinct (%)88.9%
Missing12
Missing (%)1.3%
Memory size7.5 KiB
2001.05.15
 
5
2002-05-20 00:00:00
 
3
2011-12-12 00:00:00
 
3
2003-04-28 00:00:00
 
3
2001.06.20
 
3
Other values (828)
920 

Unique

Unique737 ?
Unique (%)78.7%

Sample

1st row1993-05-16 00:00:00
2nd row1998-09-28 00:00:00
3rd row1999-03-01 00:00:00
4th row1995-06-07 00:00:00
5th row1998-01-01 00:00:00

Common Values

ValueCountFrequency (%)
2001.05.155
 
0.5%
2002-05-20 00:00:003
 
0.3%
2011-12-12 00:00:003
 
0.3%
2003-04-28 00:00:003
 
0.3%
2001.06.203
 
0.3%
2014-02-17 00:00:003
 
0.3%
2015-09-14 00:00:002
 
0.2%
2015-06-17 00:00:002
 
0.2%
2006-06-09 00:00:002
 
0.2%
2001.06.212
 
0.2%
Other values (823)909
95.8%
(Missing)12
 
1.3%

First_Phrases_Age
Real number (ℝ≥0)

MISSING

Distinct43
Distinct (%)6.1%
Missing241
Missing (%)25.4%
Infinite0
Infinite (%)0.0%
Mean45.02542373
Minimum11
Maximum120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:15.567539image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile24
Q136
median42
Q350
95-th percentile72
Maximum120
Range109
Interquartile range (IQR)14

Descriptive statistics

Standard deviation17.32906179
Coefficient of variation (CV)0.3848728197
Kurtosis3.074710584
Mean45.02542373
Median Absolute Deviation (MAD)6
Skewness1.330746608
Sum31878
Variance300.2963824
MonotonicityNot monotonic
2022-12-16T17:31:15.722277image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
36166
17.5%
48137
14.4%
6081
 
8.5%
2463
 
6.6%
4254
 
5.7%
3038
 
4.0%
7231
 
3.3%
4020
 
2.1%
1817
 
1.8%
9612
 
1.3%
Other values (33)89
 
9.4%
(Missing)241
25.4%
ValueCountFrequency (%)
111
 
0.1%
123
 
0.3%
141
 
0.1%
161
 
0.1%
1817
1.8%
ValueCountFrequency (%)
1206
0.6%
1082
 
0.2%
9612
1.3%
8411
1.2%
801
 
0.1%

First_Words_Age
Real number (ℝ≥0)

MISSING

Distinct45
Distinct (%)5.1%
Missing74
Missing (%)7.8%
Infinite0
Infinite (%)0.0%
Mean25.10628571
Minimum8
Maximum120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:15.884054image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile12
Q115
median24
Q332
95-th percentile48
Maximum120
Range112
Interquartile range (IQR)17

Descriptive statistics

Standard deviation13.62815749
Coefficient of variation (CV)0.5428185455
Kurtosis6.90805902
Mean25.10628571
Median Absolute Deviation (MAD)9
Skewness1.945334505
Sum21968
Variance185.7266767
MonotonicityNot monotonic
2022-12-16T17:31:16.034345image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
24170
17.9%
12140
14.8%
18126
13.3%
36121
12.8%
3072
7.6%
4835
 
3.7%
1528
 
3.0%
1421
 
2.2%
6018
 
1.9%
1316
 
1.7%
Other values (35)128
13.5%
(Missing)74
7.8%
ValueCountFrequency (%)
81
 
0.1%
911
 
1.2%
1014
 
1.5%
1114
 
1.5%
12140
14.8%
ValueCountFrequency (%)
1201
 
0.1%
1081
 
0.1%
1001
 
0.1%
961
 
0.1%
843
0.3%

Primos_com_psicopatologia_e_ou_P_DPM
Categorical

HIGH CARDINALITY
MISSING

Distinct121
Distinct (%)57.1%
Missing737
Missing (%)77.7%
Memory size7.5 KiB
Não
77 
Sim_x001D_Primo lado materno PC/DM/aut
 
2
Prima materna anorexia mental_x001D_Sim
 
2
Primo materno- DM_x001D_Sim
 
2
Sim
 
2
Other values (116)
127 

Unique

Unique105 ?
Unique (%)49.5%

Sample

1st rowSim_x001D_Prima
2nd rowNão_x001D_3º pri mater esquizo
3rd rowNão
4th rowNão
5th rowNão

Common Values

ValueCountFrequency (%)
Não77
 
8.1%
Sim_x001D_Primo lado materno PC/DM/aut2
 
0.2%
Prima materna anorexia mental_x001D_Sim2
 
0.2%
Primo materno- DM_x001D_Sim2
 
0.2%
Sim2
 
0.2%
Sim_x001D_Primo materno- DM2
 
0.2%
Sim_x001D_prima 1º grau mãe com Dif apre2
 
0.2%
Sim_x001D_primos paternos DM e PC2
 
0.2%
Sim_x001D_Primo lado materno2
 
0.2%
Sim_x001D_primo paterno 1ºgrau autismo2
 
0.2%
Other values (111)117
 
12.3%
(Missing)737
77.7%

Problemas_Outros
Categorical

HIGH CARDINALITY
MISSING

Distinct71
Distinct (%)7.9%
Missing45
Missing (%)4.7%
Memory size7.5 KiB
Não
661 
Sim_x001D_Agitação
 
59
Sim_x001D_Agitação_x001D_Ansiedade
 
26
Sim_x001D_Ansiedade
 
17
Sim_x001D_Ansiedade_x001D_Agitação
 
9
Other values (66)
132 

Unique

Unique42 ?
Unique (%)4.6%

Sample

1st rowSim_x001D_Agressividade_x001D_Hiperactividade
2nd rowNão
3rd rowNão
4th rowSim_x001D_Agressividade
5th rowNão

Common Values

ValueCountFrequency (%)
Não661
69.7%
Sim_x001D_Agitação59
 
6.2%
Sim_x001D_Agitação_x001D_Ansiedade26
 
2.7%
Sim_x001D_Ansiedade17
 
1.8%
Sim_x001D_Ansiedade_x001D_Agitação9
 
0.9%
Desconhecido9
 
0.9%
Sim_x001D_Agitação psicomotora8
 
0.8%
Sim_x001D_Hiperactividade8
 
0.8%
Sim6
 
0.6%
Sim_x001D_Agressividade_x001D_Agitação6
 
0.6%
Other values (61)95
 
10.0%
(Missing)45
 
4.7%

Problemas_Perinatais_e_neonatais
Categorical

HIGH CARDINALITY
MISSING

Distinct103
Distinct (%)11.3%
Missing41
Missing (%)4.3%
Memory size7.5 KiB
Não
764 
Sim_x001D_Dificuldade mamada
 
24
Sim
 
6
Sim_x001D_Asfixia ligeira
 
3
Sim_x001D_prematuridade
 
3
Other values (98)
108 

Unique

Unique90 ?
Unique (%)9.9%

Sample

1st rowBaixo peso_x001D_Sim_x001D_prematuridade
2nd rowParalisia plexo braquial_x001D_Sim
3rd rowdesc
4th rowNão
5th rowNão

Common Values

ValueCountFrequency (%)
Não764
80.5%
Sim_x001D_Dificuldade mamada24
 
2.5%
Sim6
 
0.6%
Sim_x001D_Asfixia ligeira3
 
0.3%
Sim_x001D_prematuridade3
 
0.3%
Sim_x001D_HBRB/Foto3
 
0.3%
Dificuldade mamada_x001D_Sim3
 
0.3%
Sim_x001D_Asfixia2
 
0.2%
Dificuldade mamada2
 
0.2%
Sim_x001D_P respiratórios2
 
0.2%
Other values (93)96
 
10.1%
(Missing)41
 
4.3%

Problemas_Quais
Categorical

HIGH CARDINALITY
MISSING

Distinct221
Distinct (%)24.5%
Missing48
Missing (%)5.1%
Memory size7.5 KiB
Atraso de linguagem
237 
Atrasodesenvolvimento
78 
P interacção social
60 
Regressão da linguagem
56 
Atraso de linguagem_x001D_P interacção social
 
34
Other values (216)
436 

Unique

Unique167 ?
Unique (%)18.5%

Sample

1st rowAtrasodesenvolvimento_x001D_ _x001D_P Comportamento
2nd rowAtrasodesenvolvimento
3rd rowAtrasodesenvolvimento
4th rowAtrasodesenvolvimento
5th rowAtrasodesenvolvimento

Common Values

ValueCountFrequency (%)
Atraso de linguagem237
25.0%
Atrasodesenvolvimento78
 
8.2%
P interacção social60
 
6.3%
Regressão da linguagem56
 
5.9%
Atraso de linguagem_x001D_P interacção social34
 
3.6%
Atraso de desenvolvimento31
 
3.3%
P Comportamento28
 
3.0%
Atraso comunicação28
 
3.0%
Atraso de linguagem_x001D_P Comportamento22
 
2.3%
Esteriotipias12
 
1.3%
Other values (211)315
33.2%
(Missing)48
 
5.1%

Problemas_alimentares
Categorical

HIGH CARDINALITY
MISSING

Distinct63
Distinct (%)6.8%
Missing22
Missing (%)2.3%
Memory size7.5 KiB
Não
749 
Sim_x001D_Só come alimentos restritos
 
43
Sim_x001D_Só come passados
 
34
Sim
 
14
Sim_x001D_Restritivo
 
6
Other values (58)
81 

Unique

Unique49 ?
Unique (%)5.3%

Sample

1st rowNão
2nd rowNão
3rd rowNão
4th rowSim_x001D_Ruminação
5th rowNão

Common Values

ValueCountFrequency (%)
Não749
78.9%
Sim_x001D_Só come alimentos restritos43
 
4.5%
Sim_x001D_Só come passados 34
 
3.6%
Sim14
 
1.5%
Sim_x001D_Restritivo6
 
0.6%
Só come passados _x001D_Sim5
 
0.5%
Só come alimentos restritos_x001D_Sim5
 
0.5%
Sim_x001D_Dif mastigação, tem que ser alimentado4
 
0.4%
Sim_x001D_Hiperfagia4
 
0.4%
Só come passados 4
 
0.4%
Other values (53)59
 
6.2%
(Missing)22
 
2.3%

Problemas_do_sono
Categorical

HIGH CARDINALITY
MISSING

Distinct64
Distinct (%)6.9%
Missing24
Missing (%)2.5%
Memory size7.5 KiB
Não
730 
Sim_x001D_Dificuldade adormecer
 
32
Sim_x001D_Acorda várias vezes de noite
 
28
Sim
 
25
Sim_x001D_Ciclo de sono irregular
 
20
Other values (59)
90 

Unique

Unique45 ?
Unique (%)4.9%

Sample

1st rowNão
2nd rowNão
3rd rowNão
4th rowSim_x001D_Dificuldade adormecer
5th rowNão

Common Values

ValueCountFrequency (%)
Não730
76.9%
Sim_x001D_Dificuldade adormecer32
 
3.4%
Sim_x001D_Acorda várias vezes de noite28
 
3.0%
Sim25
 
2.6%
Sim_x001D_Ciclo de sono irregular20
 
2.1%
Sim_x001D_Dorme pais7
 
0.7%
Sim_x001D_Agitado5
 
0.5%
Sim_x001D_Dificuldade adormecer_x001D_Acorda várias vezes de noite5
 
0.5%
Dificuldade adormecer_x001D_Sim4
 
0.4%
Sim_x001D_dorme pouco4
 
0.4%
Other values (54)65
 
6.8%
(Missing)24
 
2.5%

Psicopatologia_criança
Categorical

MISSING

Distinct18
Distinct (%)2.5%
Missing230
Missing (%)24.2%
Memory size7.5 KiB
Não
615 
deficiencia mental
 
57
Sim
 
9
Sim_x001D_deficiencia mental
 
8
Sim_x001D_Perturbações da ansiedade
 
6
Other values (13)
 
24

Unique

Unique9 ?
Unique (%)1.3%

Sample

1st rowdeficiencia mental
2nd rowdeficiencia mental
3rd rowdeficiencia mental
4th rowdeficiencia mental
5th rowdeficiencia mental

Common Values

ValueCountFrequency (%)
Não615
64.8%
deficiencia mental57
 
6.0%
Sim9
 
0.9%
Sim_x001D_deficiencia mental8
 
0.8%
Sim_x001D_Perturbações da ansiedade6
 
0.6%
Sim_x001D_agitação6
 
0.6%
agitação4
 
0.4%
Sim_x001D_Perturbação oposição3
 
0.3%
Sim_x001D_medos2
 
0.2%
Sim_x001D_ADHD_x001D_agitação1
 
0.1%
Other values (8)8
 
0.8%
(Missing)230
 
24.2%

QD/QILing
Real number (ℝ≥0)

MISSING

Distinct133
Distinct (%)15.0%
Missing64
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean64.11638418
Minimum4
Maximum170
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:16.203089image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile17.2
Q138
median63
Q389
95-th percentile117
Maximum170
Range166
Interquartile range (IQR)51

Descriptive statistics

Standard deviation31.83357836
Coefficient of variation (CV)0.496496781
Kurtosis-0.7747541413
Mean64.11638418
Median Absolute Deviation (MAD)25
Skewness0.2455949811
Sum56743
Variance1013.376711
MonotonicityNot monotonic
2022-12-16T17:31:16.355208image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6118
 
1.9%
4617
 
1.8%
5016
 
1.7%
3016
 
1.7%
9715
 
1.6%
8714
 
1.5%
6714
 
1.5%
6813
 
1.4%
7213
 
1.4%
2113
 
1.4%
Other values (123)736
77.6%
(Missing)64
 
6.7%
ValueCountFrequency (%)
41
 
0.1%
81
 
0.1%
92
 
0.2%
101
 
0.1%
116
0.6%
ValueCountFrequency (%)
1701
0.1%
1521
0.1%
1491
0.1%
1441
0.1%
1401
0.1%

QD/QIReal
Real number (ℝ≥0)

MISSING

Distinct124
Distinct (%)13.9%
Missing57
Missing (%)6.0%
Infinite0
Infinite (%)0.0%
Mean78.88452915
Minimum14
Maximum166
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:16.516868image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile33
Q158
median79
Q399
95-th percentile124
Maximum166
Range152
Interquartile range (IQR)41

Descriptive statistics

Standard deviation27.79742954
Coefficient of variation (CV)0.3523812571
Kurtosis-0.575823534
Mean78.88452915
Median Absolute Deviation (MAD)21
Skewness0.01016294288
Sum70365
Variance772.6970892
MonotonicityNot monotonic
2022-12-16T17:31:16.668399image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9818
 
1.9%
7617
 
1.8%
8016
 
1.7%
7716
 
1.7%
9216
 
1.7%
7916
 
1.7%
9516
 
1.7%
8716
 
1.7%
9615
 
1.6%
6015
 
1.6%
Other values (114)731
77.0%
(Missing)57
 
6.0%
ValueCountFrequency (%)
141
 
0.1%
181
 
0.1%
203
0.3%
211
 
0.1%
233
0.3%
ValueCountFrequency (%)
1661
0.1%
1551
0.1%
1481
0.1%
1461
0.1%
1432
0.2%

QD/QIglobal
Real number (ℝ≥0)

MISSING

Distinct117
Distinct (%)13.2%
Missing62
Missing (%)6.5%
Infinite0
Infinite (%)0.0%
Mean72.13472379
Minimum18
Maximum143
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:16.839836image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile32.3
Q154
median71
Q390.5
95-th percentile112
Maximum143
Range125
Interquartile range (IQR)36.5

Descriptive statistics

Standard deviation24.69500481
Coefficient of variation (CV)0.3423455932
Kurtosis-0.6428732545
Mean72.13472379
Median Absolute Deviation (MAD)18
Skewness0.09238051503
Sum63983.5
Variance609.8432624
MonotonicityNot monotonic
2022-12-16T17:31:17.019732image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7520
 
2.1%
6717
 
1.8%
6316
 
1.7%
7716
 
1.7%
6916
 
1.7%
6516
 
1.7%
10116
 
1.7%
5615
 
1.6%
9915
 
1.6%
7215
 
1.6%
Other values (107)725
76.4%
(Missing)62
 
6.5%
ValueCountFrequency (%)
182
0.2%
201
0.1%
211
0.1%
222
0.2%
232
0.2%
ValueCountFrequency (%)
1431
0.1%
1421
0.1%
1341
0.1%
1321
0.1%
1312
0.2%

QDLreav
Real number (ℝ≥0)

MISSING

Distinct104
Distinct (%)35.6%
Missing657
Missing (%)69.2%
Infinite0
Infinite (%)0.0%
Mean72.73630137
Minimum10
Maximum149
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:17.180834image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile20
Q147
median78
Q395.25
95-th percentile118.9
Maximum149
Range139
Interquartile range (IQR)48.25

Descriptive statistics

Standard deviation30.94375761
Coefficient of variation (CV)0.4254238533
Kurtosis-0.800578696
Mean72.73630137
Median Absolute Deviation (MAD)23
Skewness-0.1778009107
Sum21239
Variance957.5161347
MonotonicityNot monotonic
2022-12-16T17:31:17.334019image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
957
 
0.7%
767
 
0.7%
917
 
0.7%
836
 
0.6%
816
 
0.6%
1056
 
0.6%
1046
 
0.6%
926
 
0.6%
675
 
0.5%
1085
 
0.5%
Other values (94)231
 
24.3%
(Missing)657
69.2%
ValueCountFrequency (%)
101
0.1%
12.51
0.1%
141
0.1%
152
0.2%
172
0.2%
ValueCountFrequency (%)
1491
0.1%
1441
0.1%
1382
0.2%
1361
0.1%
1281
0.1%

QDGreav
Real number (ℝ≥0)

MISSING

Distinct91
Distinct (%)31.2%
Missing657
Missing (%)69.2%
Infinite0
Infinite (%)0.0%
Mean79.24760274
Minimum25
Maximum134
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:17.507249image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum25
5-th percentile40
Q163
median83
Q397.25
95-th percentile111
Maximum134
Range109
Interquartile range (IQR)34.25

Descriptive statistics

Standard deviation22.45816181
Coefficient of variation (CV)0.2833923177
Kurtosis-0.6198680755
Mean79.24760274
Median Absolute Deviation (MAD)16
Skewness-0.3215604204
Sum23140.3
Variance504.369032
MonotonicityNot monotonic
2022-12-16T17:31:17.679075image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
989
 
0.9%
849
 
0.9%
1008
 
0.8%
967
 
0.7%
927
 
0.7%
757
 
0.7%
1017
 
0.7%
906
 
0.6%
866
 
0.6%
746
 
0.6%
Other values (81)220
 
23.2%
(Missing)657
69.2%
ValueCountFrequency (%)
251
 
0.1%
261
 
0.1%
321
 
0.1%
331
 
0.1%
354
0.4%
ValueCountFrequency (%)
1341
0.1%
1291
0.1%
1271
0.1%
1241
0.1%
1211
0.1%

QDMreav
Real number (ℝ≥0)

MISSING

Distinct79
Distinct (%)27.1%
Missing657
Missing (%)69.2%
Infinite0
Infinite (%)0.0%
Mean87.99486301
Minimum35
Maximum151
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:17.844904image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum35
5-th percentile56
Q178.75
median90
Q3100
95-th percentile113
Maximum151
Range116
Interquartile range (IQR)21.25

Descriptive statistics

Standard deviation18.03854619
Coefficient of variation (CV)0.204995446
Kurtosis0.487573388
Mean87.99486301
Median Absolute Deviation (MAD)10
Skewness-0.3727279815
Sum25694.5
Variance325.3891488
MonotonicityNot monotonic
2022-12-16T17:31:18.005205image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9011
 
1.2%
9610
 
1.1%
10010
 
1.1%
9110
 
1.1%
9310
 
1.1%
1019
 
0.9%
849
 
0.9%
988
 
0.8%
828
 
0.8%
958
 
0.8%
Other values (69)199
 
21.0%
(Missing)657
69.2%
ValueCountFrequency (%)
351
 
0.1%
381
 
0.1%
401
 
0.1%
433
0.3%
441
 
0.1%
ValueCountFrequency (%)
1511
0.1%
1391
0.1%
1261
0.1%
1231
0.1%
1211
0.1%

QDEHreav
Real number (ℝ≥0)

MISSING

Distinct95
Distinct (%)32.6%
Missing658
Missing (%)69.3%
Infinite0
Infinite (%)0.0%
Mean81.75429553
Minimum15
Maximum144
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:18.162444image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile34
Q166.5
median86
Q3100
95-th percentile115
Maximum144
Range129
Interquartile range (IQR)33.5

Descriptive statistics

Standard deviation24.88176746
Coefficient of variation (CV)0.3043481361
Kurtosis-0.425959248
Mean81.75429553
Median Absolute Deviation (MAD)15
Skewness-0.4418425356
Sum23790.5
Variance619.1023522
MonotonicityNot monotonic
2022-12-16T17:31:18.322109image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
829
 
0.9%
1019
 
0.9%
928
 
0.8%
918
 
0.8%
767
 
0.7%
907
 
0.7%
987
 
0.7%
806
 
0.6%
966
 
0.6%
1096
 
0.6%
Other values (85)218
 
23.0%
(Missing)658
69.3%
ValueCountFrequency (%)
151
0.1%
25.51
0.1%
291
0.1%
302
0.2%
312
0.2%
ValueCountFrequency (%)
1441
0.1%
1331
0.1%
1301
0.1%
1291
0.1%
1282
0.2%

QDPSreav
Real number (ℝ≥0)

MISSING

Distinct83
Distinct (%)28.4%
Missing657
Missing (%)69.2%
Infinite0
Infinite (%)0.0%
Mean74.07363014
Minimum23.5
Maximum146
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:18.481786image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum23.5
5-th percentile39
Q158
median75
Q389
95-th percentile104.45
Maximum146
Range122.5
Interquartile range (IQR)31

Descriptive statistics

Standard deviation20.73666233
Coefficient of variation (CV)0.2799466193
Kurtosis-0.1306213817
Mean74.07363014
Median Absolute Deviation (MAD)15
Skewness-0.03023768043
Sum21629.5
Variance430.0091648
MonotonicityNot monotonic
2022-12-16T17:31:18.648420image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7311
 
1.2%
9610
 
1.1%
7810
 
1.1%
798
 
0.8%
487
 
0.7%
707
 
0.7%
897
 
0.7%
747
 
0.7%
567
 
0.7%
686
 
0.6%
Other values (73)212
 
22.3%
(Missing)657
69.2%
ValueCountFrequency (%)
23.51
0.1%
261
0.1%
271
0.1%
311
0.1%
321
0.1%
ValueCountFrequency (%)
1461
0.1%
1371
0.1%
1161
0.1%
1151
0.1%
1122
0.2%

QDRPreav
Real number (ℝ≥0)

MISSING

Distinct102
Distinct (%)34.9%
Missing657
Missing (%)69.2%
Infinite0
Infinite (%)0.0%
Mean70.90787671
Minimum0
Maximum153
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:18.814194image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile27
Q148
median75
Q391.25
95-th percentile108.45
Maximum153
Range153
Interquartile range (IQR)43.25

Descriptive statistics

Standard deviation27.20157236
Coefficient of variation (CV)0.3836184868
Kurtosis-0.7075700747
Mean70.90787671
Median Absolute Deviation (MAD)21
Skewness-0.1401459881
Sum20705.1
Variance739.9255391
MonotonicityNot monotonic
2022-12-16T17:31:18.971501image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8710
 
1.1%
1008
 
0.8%
1017
 
0.7%
837
 
0.7%
446
 
0.6%
936
 
0.6%
1046
 
0.6%
916
 
0.6%
516
 
0.6%
696
 
0.6%
Other values (92)224
 
23.6%
(Missing)657
69.2%
ValueCountFrequency (%)
01
0.1%
131
0.1%
161
0.1%
181
0.1%
20.11
0.1%
ValueCountFrequency (%)
1531
0.1%
1321
0.1%
1251
0.1%
1231
0.1%
1221
0.1%

QDRreav
Real number (ℝ≥0)

MISSING

Distinct99
Distinct (%)33.9%
Missing657
Missing (%)69.2%
Infinite0
Infinite (%)0.0%
Mean87.75856164
Minimum28
Maximum166
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:19.144159image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum28
5-th percentile44.55
Q171.75
median88.5
Q3104.25
95-th percentile132.9
Maximum166
Range138
Interquartile range (IQR)32.5

Descriptive statistics

Standard deviation26.21561591
Coefficient of variation (CV)0.2987243115
Kurtosis-0.2798259752
Mean87.75856164
Median Absolute Deviation (MAD)16.5
Skewness-0.02937739869
Sum25625.5
Variance687.2585175
MonotonicityNot monotonic
2022-12-16T17:31:19.298745image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
898
 
0.8%
1028
 
0.8%
788
 
0.8%
848
 
0.8%
1007
 
0.7%
867
 
0.7%
966
 
0.6%
1016
 
0.6%
826
 
0.6%
806
 
0.6%
Other values (89)222
 
23.4%
(Missing)657
69.2%
ValueCountFrequency (%)
282
0.2%
322
0.2%
332
0.2%
341
 
0.1%
353
0.3%
ValueCountFrequency (%)
1661
0.1%
1551
0.1%
1421
0.1%
1401
0.1%
1381
0.1%

QD_L
Real number (ℝ≥0)

MISSING

Distinct125
Distinct (%)15.3%
Missing134
Missing (%)14.1%
Infinite0
Infinite (%)0.0%
Mean58.60282209
Minimum4
Maximum170
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:19.474944image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile18
Q136
median53
Q379
95-th percentile112.3
Maximum170
Range166
Interquartile range (IQR)43

Descriptive statistics

Standard deviation30.04163212
Coefficient of variation (CV)0.5126311507
Kurtosis-0.003163741385
Mean58.60282209
Median Absolute Deviation (MAD)21
Skewness0.6532871393
Sum47761.3
Variance902.4996603
MonotonicityNot monotonic
2022-12-16T17:31:19.626816image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5019
 
2.0%
4518
 
1.9%
3017
 
1.8%
4216
 
1.7%
3916
 
1.7%
3815
 
1.6%
4615
 
1.6%
4414
 
1.5%
4014
 
1.5%
3114
 
1.5%
Other values (115)657
69.2%
(Missing)134
 
14.1%
ValueCountFrequency (%)
41
 
0.1%
81
 
0.1%
92
 
0.2%
115
0.5%
11.31
 
0.1%
ValueCountFrequency (%)
1702
0.2%
1581
0.1%
1521
0.1%
1502
0.2%
1402
0.2%

QD_M
Real number (ℝ≥0)

MISSING

Distinct112
Distinct (%)13.7%
Missing133
Missing (%)14.0%
Infinite0
Infinite (%)0.0%
Mean86.56470588
Minimum23
Maximum157
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:19.788877image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum23
5-th percentile43
Q171
median89
Q3104
95-th percentile120.25
Maximum157
Range134
Interquartile range (IQR)33

Descriptive statistics

Standard deviation23.60913891
Coefficient of variation (CV)0.2727340048
Kurtosis-0.3036932762
Mean86.56470588
Median Absolute Deviation (MAD)16
Skewness-0.3541612086
Sum70636.8
Variance557.3914399
MonotonicityNot monotonic
2022-12-16T17:31:19.951858image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9823
 
2.4%
10021
 
2.2%
8319
 
2.0%
8119
 
2.0%
9718
 
1.9%
9318
 
1.9%
10218
 
1.9%
10817
 
1.8%
11317
 
1.8%
9417
 
1.8%
Other values (102)629
66.3%
(Missing)133
 
14.0%
ValueCountFrequency (%)
231
 
0.1%
241
 
0.1%
282
0.2%
292
0.2%
303
0.3%
ValueCountFrequency (%)
1571
0.1%
1431
0.1%
1391
0.1%
1381
0.1%
1351
0.1%

QD_EH
Real number (ℝ≥0)

MISSING

Distinct121
Distinct (%)14.8%
Missing132
Missing (%)13.9%
Infinite0
Infinite (%)0.0%
Mean70.07270502
Minimum17
Maximum165
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:20.115304image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile29
Q153
median70
Q386
95-th percentile108.2
Maximum165
Range148
Interquartile range (IQR)33

Descriptive statistics

Standard deviation25.12542413
Coefficient of variation (CV)0.3585622123
Kurtosis0.08601187147
Mean70.07270502
Median Absolute Deviation (MAD)17
Skewness0.2485006202
Sum57249.4
Variance631.2869379
MonotonicityNot monotonic
2022-12-16T17:31:20.266261image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7722
 
2.3%
6519
 
2.0%
5717
 
1.8%
6717
 
1.8%
8816
 
1.7%
7016
 
1.7%
10016
 
1.7%
6915
 
1.6%
7515
 
1.6%
7415
 
1.6%
Other values (111)649
68.4%
(Missing)132
 
13.9%
ValueCountFrequency (%)
172
0.2%
184
0.4%
18.91
 
0.1%
193
0.3%
201
 
0.1%
ValueCountFrequency (%)
1651
0.1%
1571
0.1%
1501
0.1%
1491
0.1%
1471
0.1%

QD_PS
Real number (ℝ≥0)

MISSING

Distinct110
Distinct (%)13.5%
Missing132
Missing (%)13.9%
Infinite0
Infinite (%)0.0%
Mean67.69228886
Minimum17
Maximum161
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:20.434069image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile31
Q151
median67
Q383
95-th percentile104
Maximum161
Range144
Interquartile range (IQR)32

Descriptive statistics

Standard deviation23.01584337
Coefficient of variation (CV)0.3400068716
Kurtosis-0.08529256689
Mean67.69228886
Median Absolute Deviation (MAD)16
Skewness0.1818164033
Sum55304.6
Variance529.7290459
MonotonicityNot monotonic
2022-12-16T17:31:20.587214image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6325
 
2.6%
8120
 
2.1%
5718
 
1.9%
5918
 
1.9%
6717
 
1.8%
7117
 
1.8%
5616
 
1.7%
8416
 
1.7%
6416
 
1.7%
8315
 
1.6%
Other values (100)639
67.3%
(Missing)132
 
13.9%
ValueCountFrequency (%)
171
0.1%
181
0.1%
18.11
0.1%
192
0.2%
201
0.1%
ValueCountFrequency (%)
1611
0.1%
1551
0.1%
1381
0.1%
1261
0.1%
1241
0.1%

QD_R
Real number (ℝ≥0)

MISSING

Distinct125
Distinct (%)15.3%
Missing132
Missing (%)13.9%
Infinite0
Infinite (%)0.0%
Mean79.59816401
Minimum14
Maximum152
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:20.749484image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile33
Q158
median81
Q3100
95-th percentile124.2
Maximum152
Range138
Interquartile range (IQR)42

Descriptive statistics

Standard deviation28.14542433
Coefficient of variation (CV)0.3535938885
Kurtosis-0.6383012373
Mean79.59816401
Median Absolute Deviation (MAD)21
Skewness-0.005774566195
Sum65031.7
Variance792.1649108
MonotonicityNot monotonic
2022-12-16T17:31:20.902719image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10018
 
1.9%
7217
 
1.8%
7915
 
1.6%
9315
 
1.6%
9215
 
1.6%
9614
 
1.5%
7713
 
1.4%
8113
 
1.4%
7013
 
1.4%
7313
 
1.4%
Other values (115)671
70.7%
(Missing)132
 
13.9%
ValueCountFrequency (%)
141
 
0.1%
181
 
0.1%
201
 
0.1%
211
 
0.1%
233
0.3%
ValueCountFrequency (%)
1521
0.1%
1501
0.1%
1482
0.2%
1441
0.1%
1432
0.2%

QD_PR
Real number (ℝ≥0)

MISSING
ZEROS

Distinct106
Distinct (%)14.5%
Missing219
Missing (%)23.1%
Infinite0
Infinite (%)0.0%
Mean53.62191781
Minimum0
Maximum139
Zeros138
Zeros (%)14.5%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:21.066158image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q135
median58
Q375
95-th percentile103.55
Maximum139
Range139
Interquartile range (IQR)40

Descriptive statistics

Standard deviation33.21153983
Coefficient of variation (CV)0.6193650131
Kurtosis-0.6303509743
Mean53.62191781
Median Absolute Deviation (MAD)20
Skewness-0.1973530644
Sum39144
Variance1103.006378
MonotonicityNot monotonic
2022-12-16T17:31:21.218375image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0138
 
14.5%
6816
 
1.7%
6116
 
1.7%
7515
 
1.6%
5915
 
1.6%
4815
 
1.6%
7414
 
1.5%
6914
 
1.5%
6613
 
1.4%
5613
 
1.4%
Other values (96)461
48.6%
(Missing)219
23.1%
ValueCountFrequency (%)
0138
14.5%
181
 
0.1%
203
 
0.3%
211
 
0.1%
222
 
0.2%
ValueCountFrequency (%)
1391
0.1%
1361
0.1%
1311
0.1%
1301
0.1%
1291
0.1%

QI
Categorical

MISSING

Distinct2
Distinct (%)0.3%
Missing301
Missing (%)31.7%
Memory size7.5 KiB
N
617 
S
 
31

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowN
2nd rowN
3rd rowN
4th rowN
5th rowN

Common Values

ValueCountFrequency (%)
N617
65.0%
S31
 
3.3%
(Missing)301
31.7%

Qd_WPPSIR
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)53.3%
Missing934
Missing (%)98.4%
Infinite0
Infinite (%)0.0%
Mean11.6
Minimum5
Maximum17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:21.352447image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile8.5
Q110
median11
Q313
95-th percentile15.6
Maximum17
Range12
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.746426249
Coefficient of variation (CV)0.2367608836
Kurtosis1.926520449
Mean11.6
Median Absolute Deviation (MAD)1
Skewness-0.3513784378
Sum174
Variance7.542857143
MonotonicityNot monotonic
2022-12-16T17:31:21.462881image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
104
 
0.4%
113
 
0.3%
132
 
0.2%
122
 
0.2%
51
 
0.1%
141
 
0.1%
171
 
0.1%
151
 
0.1%
(Missing)934
98.4%
ValueCountFrequency (%)
51
 
0.1%
104
0.4%
113
0.3%
122
0.2%
132
0.2%
ValueCountFrequency (%)
171
0.1%
151
0.1%
141
0.1%
132
0.2%
122
0.2%

Quais_alterações_genéticas
Categorical

HIGH CARDINALITY
MISSING

Distinct138
Distinct (%)95.8%
Missing805
Missing (%)84.8%
Memory size7.5 KiB
CNV Gain 9q21.13 ANXA1
 
3
KCNQ3-mutation
 
3
6q26 loss mat Park2
 
2
CNV Loss 3q11.2
 
2
Xq26.2(132983366-133023226) 39Kb, 1 gene OMIM morbid map 300037-GPC3, classe II
 
1
Other values (133)
133 

Unique

Unique134 ?
Unique (%)93.1%

Sample

1st rowCNV Gain 9q21.13 ANXA1
2nd rowCNV rec 3 FGS
3rd rowKCNQ3-mutation
4th row6q26 loss mat Park2_x000B_
5th rowCNV Gain 5q23.1

Common Values

ValueCountFrequency (%)
CNV Gain 9q21.13 ANXA1 3
 
0.3%
KCNQ3-mutation 3
 
0.3%
6q26 loss mat Park22
 
0.2%
CNV Loss 3q11.22
 
0.2%
Xq26.2(132983366-133023226) 39Kb, 1 gene OMIM morbid map 300037-GPC3, classe II1
 
0.1%
arr(h19)21q21.1(18,758,577-19,106,7709X3, 349kB, 3 GENES, 2 omim:602621-cxadr,605674-btg31
 
0.1%
13q21.2x1,60,524,322-60,706,32413,182kb,geneDIAPH3,II ; xq21.2q21.31,85,923,471-86,257,677,334kb,DACH2, II; 16p13.3,7,017,522-7,046,219,28kb,gene RBFOX1-A2BP1,III1
 
0.1%
3q26.31q26.32x1,175,105,979-175,745,370, 339kb, 3 genes NAAALADL2-608806,II1
 
0.1%
22q12.3x3,33,527,053-33,852,735,325kb, e gene, 1OMIM morbid map - 603590-LARGE,II1
 
0.1%
arr(hg19)2p11.2(86,289,130-86,509,326)x3; 10p11.21(34,835,589-35,154,914)x3;15q13.2(30,653,877-31,077,833)x1._x000B_REEP1; PARD3; CHRFAM7A classe II mat1
 
0.1%
Other values (128)128
 
13.5%
(Missing)805
84.8%

Quais_terapias
Categorical

HIGH CARDINALITY
MISSING

Distinct165
Distinct (%)32.0%
Missing433
Missing (%)45.6%
Memory size7.5 KiB
Terapia da Fala
120 
Terapia da Fala_x001D_Terapia Ocupacional
71 
Psicologia
57 
Terapia da Fala_x001D_Psicologia
 
21
Terapia da Fala_x001D_Terapia Ocupacional_x001D_Psicologia
 
17
Other values (160)
230 

Unique

Unique126 ?
Unique (%)24.4%

Sample

1st rowTerapia da Fala_x001D_Terapia Ocupacional_x001D_Natação
2nd rowHipoterapia
3rd rowHipoterapia
4th rowPsicologia
5th rowTerapia Ocupacional_x001D_Terapia da Fala_x001D_Hipoterapia_x001D_Hidroterapia

Common Values

ValueCountFrequency (%)
Terapia da Fala120
 
12.6%
Terapia da Fala_x001D_Terapia Ocupacional71
 
7.5%
Psicologia57
 
6.0%
Terapia da Fala_x001D_Psicologia21
 
2.2%
Terapia da Fala_x001D_Terapia Ocupacional_x001D_Psicologia17
 
1.8%
Terapia Ocupacional9
 
0.9%
Terapia da Fala_x001D_Psicomotricidade7
 
0.7%
Terapia da Fala_x001D_Psicologia_x001D_Terapia Ocupacional6
 
0.6%
Terapia da Fala (SNIPI)4
 
0.4%
Terapia da Fala_x001D_Terapia Ocupacional_x001D_Psicomotricidade4
 
0.4%
Other values (155)200
21.1%
(Missing)433
45.6%

RMN_resultado
Categorical

HIGH CARDINALITY
MISSING

Distinct57
Distinct (%)22.6%
Missing697
Missing (%)73.4%
Memory size7.5 KiB
Normal
178 
Normal_x001D_espectroscopia-N
 
11
alterado_x001D_Atrofia
 
5
Atraso na mielinização
 
4
espectroscopia-N_x001D_Normal
 
2
Other values (52)
52 

Unique

Unique52 ?
Unique (%)20.6%

Sample

1st rowNormal
2nd rowNormal
3rd rowNormal
4th rowNormal
5th rowalterado_x001D_Atrofia

Common Values

ValueCountFrequency (%)
Normal178
 
18.8%
Normal_x001D_espectroscopia-N11
 
1.2%
alterado_x001D_Atrofia5
 
0.5%
Atraso na mielinização4
 
0.4%
espectroscopia-N_x001D_Normal2
 
0.2%
Atrofia_x001D_Megacisterna1
 
0.1%
Quisto quadrado1
 
0.1%
alterado_x001D_discreto alargamento espaço alargado frontal , discreta dilatação sulcos corticais_x001D_atrofia cortical, discreta assimetria hipocampica.1
 
0.1%
Normal_x001D_Inv. IBILI1
 
0.1%
Sinais de malformação Arnold Chiari1
 
0.1%
Other values (47)47
 
5.0%
(Missing)697
73.4%

Race
Categorical

Distinct3
Distinct (%)0.3%
Missing6
Missing (%)0.6%
Memory size7.5 KiB
White
923 
African American
 
19
Asian
 
1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowWhite
2nd rowWhite
3rd rowWhite
4th rowWhite
5th rowWhite

Common Values

ValueCountFrequency (%)
White923
97.3%
African American19
 
2.0%
Asian1
 
0.1%
(Missing)6
 
0.6%

Reav_Griffiths
Categorical

MISSING

Distinct2
Distinct (%)0.6%
Missing620
Missing (%)65.3%
Memory size7.5 KiB
S
293 
N
36 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowN
2nd rowS
3rd rowS
4th rowS
5th rowN

Common Values

ValueCountFrequency (%)
S293
30.9%
N36
 
3.8%
(Missing)620
65.3%

Reav_WISCIII
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)50.0%
Missing947
Missing (%)99.8%
Memory size7.5 KiB
S

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowS
2nd rowS

Common Values

ValueCountFrequency (%)
S2
 
0.2%
(Missing)947
99.8%

Região
Categorical

Distinct7
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
Centro - Continente
528 
Lisboa v Tejo - Sul - Continente
179 
Norte - Continente
159 
Alentejo - Sul - Continente
 
33
Açores
 
27
Other values (2)
 
23

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAçores
2nd rowNorte - Continente
3rd rowNorte - Continente
4th rowCentro - Continente
5th rowCentro - Continente

Common Values

ValueCountFrequency (%)
Centro - Continente528
55.6%
Lisboa v Tejo - Sul - Continente179
 
18.9%
Norte - Continente159
 
16.8%
Alentejo - Sul - Continente33
 
3.5%
Açores27
 
2.8%
Algarve - Sul - Continente17
 
1.8%
Madeira6
 
0.6%

PMD_Regression
Categorical

MISSING

Distinct2
Distinct (%)0.2%
Missing54
Missing (%)5.7%
Memory size7.5 KiB
N
843 
S
 
52

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowN
2nd rowN
3rd rowN
4th rowN
5th rowN

Common Values

ValueCountFrequency (%)
N843
88.8%
S52
 
5.5%
(Missing)54
 
5.7%
Distinct26
Distinct (%)39.4%
Missing883
Missing (%)93.0%
Memory size7.5 KiB
Não
21 
não
10 
24
24_x001D_R linguagem_x001D_R interacção social
 
2
24_x001D_R linguagem
 
2
Other values (21)
22 

Unique

Unique20 ?
Unique (%)30.3%

Sample

1st row _x001D_
2nd row2A
3rd row24_x001D_R linguagem_x001D_R interacção social
4th row1A_x001D_Perdeu imitação_x001D_R interacção social
5th row24

Common Values

ValueCountFrequency (%)
Não21
 
2.2%
não10
 
1.1%
249
 
0.9%
24_x001D_R linguagem_x001D_R interacção social2
 
0.2%
24_x001D_R linguagem2
 
0.2%
182
 
0.2%
_x001D_ 1
 
0.1%
sim_x001D_21 1
 
0.1%
201
 
0.1%
221
 
0.1%
Other values (16)16
 
1.7%
(Missing)883
93.0%

Regressão_Ling_idade
Categorical

MISSING

Distinct44
Distinct (%)18.1%
Missing706
Missing (%)74.4%
Memory size7.5 KiB
Não
115 
24
42 
18
16 
36
 
10
sim_x001D_Perda de palavras
 
9
Other values (39)
51 

Unique

Unique30 ?
Unique (%)12.3%

Sample

1st row36
2nd row24
3rd row24
4th row24
5th row24

Common Values

ValueCountFrequency (%)
Não115
 
12.1%
2442
 
4.4%
1816
 
1.7%
3610
 
1.1%
sim_x001D_Perda de palavras9
 
0.9%
sim_x001D_perdeu mais que 5 palavras3
 
0.3%
Perda de palavras3
 
0.3%
123
 
0.3%
152
 
0.2%
142
 
0.2%
Other values (34)38
 
4.0%
(Missing)706
74.4%

Language_Regr
Categorical

MISSING

Distinct2
Distinct (%)0.2%
Missing51
Missing (%)5.4%
Memory size7.5 KiB
N
778 
S
120 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowN
2nd rowN
3rd rowN
4th rowN
5th rowN

Common Values

ValueCountFrequency (%)
N778
82.0%
S120
 
12.6%
(Missing)51
 
5.4%

Saúde_Geral
Categorical

MISSING

Distinct2
Distinct (%)0.2%
Missing60
Missing (%)6.3%
Memory size7.5 KiB
Nor.
862 
Pat.
 
27

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNor.
2nd rowNor.
3rd rowNor.
4th rowNor.
5th rowPat.

Common Values

ValueCountFrequency (%)
Nor.862
90.8%
Pat.27
 
2.8%
(Missing)60
 
6.3%

Sem_WISCIII
Real number (ℝ≥0)

MISSING

Distinct19
Distinct (%)8.1%
Missing715
Missing (%)75.3%
Infinite0
Infinite (%)0.0%
Mean9.55982906
Minimum1
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:21.585173image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.65
Q17
median10
Q312
95-th percentile16.35
Maximum19
Range18
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.153525
Coefficient of variation (CV)0.4344769111
Kurtosis-0.3468777686
Mean9.55982906
Median Absolute Deviation (MAD)3
Skewness-0.007673983347
Sum2237
Variance17.25176993
MonotonicityNot monotonic
2022-12-16T17:31:21.695807image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1032
 
3.4%
823
 
2.4%
1122
 
2.3%
920
 
2.1%
616
 
1.7%
1215
 
1.6%
714
 
1.5%
1313
 
1.4%
1411
 
1.2%
1611
 
1.2%
Other values (9)57
 
6.0%
(Missing)715
75.3%
ValueCountFrequency (%)
110
1.1%
22
 
0.2%
310
1.1%
45
0.5%
511
1.2%
ValueCountFrequency (%)
192
 
0.2%
186
0.6%
174
 
0.4%
1611
1.2%
157
0.7%

Sem_WPPSIR
Real number (ℝ≥0)

MISSING

Distinct7
Distinct (%)50.0%
Missing935
Missing (%)98.5%
Infinite0
Infinite (%)0.0%
Mean10
Minimum6
Maximum14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:21.813693image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile6
Q17.5
median10.5
Q312.5
95-th percentile13.35
Maximum14
Range8
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.745625892
Coefficient of variation (CV)0.2745625892
Kurtosis-1.304134641
Mean10
Median Absolute Deviation (MAD)2.5
Skewness-0.1560924341
Sum140
Variance7.538461538
MonotonicityNot monotonic
2022-12-16T17:31:21.929254image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
133
 
0.3%
113
 
0.3%
62
 
0.2%
72
 
0.2%
92
 
0.2%
141
 
0.1%
101
 
0.1%
(Missing)935
98.5%
ValueCountFrequency (%)
62
0.2%
72
0.2%
92
0.2%
101
 
0.1%
113
0.3%
ValueCountFrequency (%)
141
 
0.1%
133
0.3%
113
0.3%
101
 
0.1%
92
0.2%

Sentar
Categorical

MISSING

Distinct30
Distinct (%)5.2%
Missing369
Missing (%)38.9%
Memory size7.5 KiB
6
209 
7
141 
8
78 
9
51 
10
23 
Other values (25)
78 

Unique

Unique15 ?
Unique (%)2.6%

Sample

1st row8
2nd row8
3rd row7
4th row6m
5th row24M

Common Values

ValueCountFrequency (%)
6209
22.0%
7141
 
14.9%
878
 
8.2%
951
 
5.4%
1023
 
2.4%
1222
 
2.3%
511
 
1.2%
?7
 
0.7%
6M5
 
0.5%
44
 
0.4%
Other values (20)29
 
3.1%
(Missing)369
38.9%

Gender
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
M
825 
F
124 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowF
2nd rowM
3rd rowM
4th rowM
5th rowF

Common Values

ValueCountFrequency (%)
M825
86.9%
F124
 
13.1%

Sintomas
Categorical

MISSING

Distinct6
Distinct (%)100.0%
Missing943
Missing (%)99.4%
Memory size7.5 KiB
alteração contacto visual_x001D_obsessões
ecolália
Esteriotipias _x001D_obsessões
alteração contacto visual_x001D_ecolália_x001D_Esteriotipias
ecolália_x001D_obsessões_x001D_Esteriotipias

Unique

Unique6 ?
Unique (%)100.0%

Sample

1st rowalteração contacto visual_x001D_obsessões
2nd rowecolália
3rd rowEsteriotipias _x001D_obsessões
4th rowalteração contacto visual_x001D_ecolália_x001D_Esteriotipias
5th rowecolália_x001D_obsessões_x001D_Esteriotipias

Common Values

ValueCountFrequency (%)
alteração contacto visual_x001D_obsessões1
 
0.1%
ecolália1
 
0.1%
Esteriotipias _x001D_obsessões1
 
0.1%
alteração contacto visual_x001D_ecolália_x001D_Esteriotipias 1
 
0.1%
ecolália_x001D_obsessões_x001D_Esteriotipias 1
 
0.1%
Esteriotipias _x001D_hiper e hiposensibilidade sensorial1
 
0.1%
(Missing)943
99.4%

TAC_resultado
Categorical

MISSING

Distinct13
Distinct (%)14.3%
Missing858
Missing (%)90.4%
Memory size7.5 KiB
Normal
74 
Alterado_x001D_Atrofia
 
3
Atrofia
 
3
Alterado
 
2
Atrofia cortical
 
1
Other values (8)

Unique

Unique9 ?
Unique (%)9.9%

Sample

1st rowNormal
2nd rowAlterado_x001D_Atrofia
3rd rowNormal
4th rowNormal
5th rowNormal

Common Values

ValueCountFrequency (%)
Normal74
 
7.8%
Alterado_x001D_Atrofia3
 
0.3%
Atrofia3
 
0.3%
Alterado2
 
0.2%
Atrofia cortical1
 
0.1%
Alterado_x001D_quisto septo pelucido vergae1
 
0.1%
1
 
0.1%
Normal_x001D_Atrofia1
 
0.1%
Alterado_x001D_Suspeita de aumento do IV ventriculo1
 
0.1%
Alterado_x001D_atrofia subcortical1
 
0.1%
Other values (3)3
 
0.3%
(Missing)858
90.4%

TA_WPPSIR
Real number (ℝ≥0)

MISSING

Distinct7
Distinct (%)87.5%
Missing941
Missing (%)99.2%
Infinite0
Infinite (%)0.0%
Mean10.375
Minimum7
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:22.065813image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile7.35
Q18.75
median10.5
Q311.25
95-th percentile13.95
Maximum15
Range8
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation2.503568881
Coefficient of variation (CV)0.241307844
Kurtosis0.5980860545
Mean10.375
Median Absolute Deviation (MAD)1.5
Skewness0.5974377246
Sum83
Variance6.267857143
MonotonicityNot monotonic
2022-12-16T17:31:22.177808image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
112
 
0.2%
151
 
0.1%
101
 
0.1%
81
 
0.1%
91
 
0.1%
121
 
0.1%
71
 
0.1%
(Missing)941
99.2%
ValueCountFrequency (%)
71
0.1%
81
0.1%
91
0.1%
101
0.1%
112
0.2%
ValueCountFrequency (%)
151
0.1%
121
0.1%
112
0.2%
101
0.1%
91
0.1%

Tabaco
Categorical

MISSING

Distinct2
Distinct (%)0.2%
Missing33
Missing (%)3.5%
Memory size7.5 KiB
N
886 
S
 
30

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowN
2nd rowN
3rd rowS
4th rowN
5th rowN

Common Values

ValueCountFrequency (%)
N886
93.4%
S30
 
3.2%
(Missing)33
 
3.5%

Terapias
Categorical

MISSING

Distinct2
Distinct (%)0.3%
Missing246
Missing (%)25.9%
Memory size7.5 KiB
S
516 
N
187 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowS
2nd rowS
3rd rowS
4th rowN
5th rowS

Common Values

ValueCountFrequency (%)
S516
54.4%
N187
 
19.7%
(Missing)246
25.9%

Tios_com_psicopatologia_e_ou_p_DPM
Categorical

HIGH CARDINALITY
MISSING

Distinct95
Distinct (%)52.5%
Missing768
Missing (%)80.9%
Memory size7.5 KiB
Não
80 
Sim_x001D_Lado materno Psicopatologia
 
3
Lado paterno P desenvolvimento
 
2
Tia materna depressão
 
2
Tio materno atraso linguagem
 
2
Other values (90)
92 

Unique

Unique88 ?
Unique (%)48.6%

Sample

1st rowNão
2nd rowSim_x001D_Lado paterno P desenvolvimento_x001D_Lado materno Psicopatologia
3rd rowNão
4th rowNão
5th rowNão

Common Values

ValueCountFrequency (%)
Não80
 
8.4%
Sim_x001D_Lado materno Psicopatologia3
 
0.3%
Lado paterno P desenvolvimento2
 
0.2%
Tia materna depressão2
 
0.2%
Tio materno atraso linguagem2
 
0.2%
Tio materno esquizo_x001D_Sim2
 
0.2%
Sim_x001D_Tia lado materno P desenv2
 
0.2%
Tios paternos - Hipocondriacos, D. em lidar com problemas1
 
0.1%
Tio 1º grau com esquizofrenia1
 
0.1%
Tia materna surdez neurossensorial profunda1
 
0.1%
Other values (85)85
 
9.0%
(Missing)768
80.9%

Tipo_de_apoio
Categorical

MISSING

Distinct18
Distinct (%)2.8%
Missing295
Missing (%)31.1%
Memory size7.5 KiB
Medidas Educativas 3/2008
293 
SNIPI
95 
Educação especial
86 
Unidade de Ensino Estruturado
73 
Medidas Educativas 54/2018
62 
Other values (13)
45 

Unique

Unique8 ?
Unique (%)1.2%

Sample

1st rowUnidade de Ensino Estruturado
2nd rowMedidas Educativas 3/2008
3rd rowEducação especial
4th rowApoio Educativo
5th rowEducação especial

Common Values

ValueCountFrequency (%)
Medidas Educativas 3/2008293
30.9%
SNIPI95
 
10.0%
Educação especial86
 
9.1%
Unidade de Ensino Estruturado73
 
7.7%
Medidas Educativas 54/201862
 
6.5%
Apoio Educativo15
 
1.6%
Sala TEACCH7
 
0.7%
Intervenção Precoce7
 
0.7%
Apoio pedagógico personalizado4
 
0.4%
Apoio pedagógico acrescido4
 
0.4%
Other values (8)8
 
0.8%
(Missing)295
31.1%

Vineland
Categorical

MISSING

Distinct2
Distinct (%)40.0%
Missing944
Missing (%)99.5%
Memory size7.5 KiB
S
N

Unique

Unique1 ?
Unique (%)20.0%

Sample

1st rowS
2nd rowS
3rd rowS
4th rowS
5th rowN

Common Values

ValueCountFrequency (%)
S4
 
0.4%
N1
 
0.1%
(Missing)944
99.5%

Vineland_abr_Autonomia_DP-P
Real number (ℝ≥0)

MISSING

Distinct122
Distinct (%)16.0%
Missing186
Missing (%)19.6%
Infinite0
Infinite (%)0.0%
Mean62.92267366
Minimum10
Maximum180
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:22.333424image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile19
Q138
median56
Q381.5
95-th percentile131.8
Maximum180
Range170
Interquartile range (IQR)43.5

Descriptive statistics

Standard deviation34.14640468
Coefficient of variation (CV)0.5426725009
Kurtosis0.3328242079
Mean62.92267366
Median Absolute Deviation (MAD)20
Skewness0.9247878259
Sum48010
Variance1165.976952
MonotonicityNot monotonic
2022-12-16T17:31:23.007070image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3919
 
2.0%
5919
 
2.0%
6219
 
2.0%
2818
 
1.9%
3517
 
1.8%
1917
 
1.8%
4916
 
1.7%
4116
 
1.7%
5715
 
1.6%
4415
 
1.6%
Other values (112)592
62.4%
(Missing)186
 
19.6%
ValueCountFrequency (%)
101
 
0.1%
111
 
0.1%
123
0.3%
131
 
0.1%
144
0.4%
ValueCountFrequency (%)
1801
 
0.1%
1742
0.2%
1691
 
0.1%
1681
 
0.1%
1623
0.3%

Vineland_abr_Socialização_DP-P
Real number (ℝ≥0)

MISSING

Distinct108
Distinct (%)14.2%
Missing186
Missing (%)19.6%
Infinite0
Infinite (%)0.0%
Mean56.21703801
Minimum5
Maximum227
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:23.170959image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile13
Q128
median46
Q373
95-th percentile132.7
Maximum227
Range222
Interquartile range (IQR)45

Descriptive statistics

Standard deviation37.43510603
Coefficient of variation (CV)0.6659032093
Kurtosis1.4755561
Mean56.21703801
Median Absolute Deviation (MAD)21
Skewness1.238924014
Sum42893.6
Variance1401.387163
MonotonicityNot monotonic
2022-12-16T17:31:23.322491image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1818
 
1.9%
4017
 
1.8%
4417
 
1.8%
4817
 
1.8%
3616
 
1.7%
5315
 
1.6%
2715
 
1.6%
4214
 
1.5%
8814
 
1.5%
4514
 
1.5%
Other values (98)606
63.9%
(Missing)186
 
19.6%
ValueCountFrequency (%)
52
 
0.2%
72
 
0.2%
83
 
0.3%
93
 
0.3%
109
0.9%
ValueCountFrequency (%)
2271
0.1%
2011
0.1%
1922
0.2%
1861
0.1%
1802
0.2%
Distinct20
Distinct (%)8.7%
Missing720
Missing (%)75.9%
Memory size7.5 KiB
Não
186 
Sim_x001D_esteriotipias_x001D_Desajustado
 
8
Sim_x001D_Esteriotipias
 
5
Sim_x001D_esteriotipias
 
4
Desajustado
 
3
Other values (15)
23 

Unique

Unique9 ?
Unique (%)3.9%

Sample

1st rowNão
2nd rowDesajustado
3rd rowesteriotipias_x001D_Desajustado
4th rowSim_x001D_esteriotipias
5th rowNão

Common Values

ValueCountFrequency (%)
Não186
 
19.6%
Sim_x001D_esteriotipias_x001D_Desajustado8
 
0.8%
Sim_x001D_Esteriotipias5
 
0.5%
Sim_x001D_esteriotipias4
 
0.4%
Desajustado3
 
0.3%
Sim_x001D_Agressividade3
 
0.3%
Sim_x001D_Ansiedade3
 
0.3%
Sim_x001D_Desajustado_x001D_esteriotipias2
 
0.2%
Sim2
 
0.2%
Sim_x001D_Esteriotipias_x001D_Desajustado2
 
0.2%
Other values (10)11
 
1.2%
(Missing)720
75.9%

Vineland_abr_comunicação_DP-_P
Real number (ℝ≥0)

MISSING

Distinct114
Distinct (%)15.0%
Missing187
Missing (%)19.7%
Infinite0
Infinite (%)0.0%
Mean60.85249344
Minimum7
Maximum213
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:23.482948image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile14
Q125
median49
Q388
95-th percentile150
Maximum213
Range206
Interquartile range (IQR)63

Descriptive statistics

Standard deviation43.36123335
Coefficient of variation (CV)0.7125629682
Kurtosis0.3066610862
Mean60.85249344
Median Absolute Deviation (MAD)30
Skewness0.9788767706
Sum46369.6
Variance1880.196558
MonotonicityNot monotonic
2022-12-16T17:31:23.635650image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1639
 
4.1%
1826
 
2.7%
15020
 
2.1%
1718
 
1.9%
4817
 
1.8%
1416
 
1.7%
1915
 
1.6%
3014
 
1.5%
5014
 
1.5%
3812
 
1.3%
Other values (104)571
60.2%
(Missing)187
 
19.7%
ValueCountFrequency (%)
71
 
0.1%
82
 
0.2%
93
0.3%
104
0.4%
115
0.5%
ValueCountFrequency (%)
2132
 
0.2%
1983
 
0.3%
1893
 
0.3%
1772
 
0.2%
1688
0.8%

Vineland_abr_global_DP-P
Real number (ℝ≥0)

MISSING
SKEWED

Distinct154
Distinct (%)20.2%
Missing188
Missing (%)19.8%
Infinite0
Infinite (%)0.0%
Mean236.8406702
Minimum11
Maximum134174
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:23.791037image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile19
Q133
median51
Q381
95-th percentile133
Maximum134174
Range134163
Interquartile range (IQR)48

Descriptive statistics

Standard deviation4861.741992
Coefficient of variation (CV)20.52747946
Kurtosis760.9149464
Mean236.8406702
Median Absolute Deviation (MAD)22
Skewness27.58391948
Sum180235.75
Variance23636535.2
MonotonicityNot monotonic
2022-12-16T17:31:23.959930image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2717
 
1.8%
2214
 
1.5%
4514
 
1.5%
4214
 
1.5%
3614
 
1.5%
4014
 
1.5%
5114
 
1.5%
5613
 
1.4%
3513
 
1.4%
3313
 
1.4%
Other values (144)621
65.4%
(Missing)188
 
19.8%
ValueCountFrequency (%)
111
 
0.1%
123
0.3%
132
 
0.2%
146
0.6%
151
 
0.1%
ValueCountFrequency (%)
1341741
0.1%
1831
0.1%
1801
0.1%
1771
0.1%
1761
0.1%

Vineland_abr_motricidade_DP-P
Real number (ℝ≥0)

MISSING

Distinct40
Distinct (%)17.5%
Missing720
Missing (%)75.9%
Infinite0
Infinite (%)0.0%
Mean42.17467249
Minimum18
Maximum72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:24.122181image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile23.4
Q131
median39
Q354
95-th percentile69
Maximum72
Range54
Interquartile range (IQR)23

Descriptive statistics

Standard deviation13.98981664
Coefficient of variation (CV)0.3317113286
Kurtosis-0.8997345037
Mean42.17467249
Median Absolute Deviation (MAD)10
Skewness0.4304247005
Sum9658
Variance195.7149697
MonotonicityNot monotonic
2022-12-16T17:31:24.275216image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
3419
 
2.0%
2914
 
1.5%
5613
 
1.4%
4611
 
1.2%
3911
 
1.2%
479
 
0.9%
518
 
0.8%
698
 
0.8%
618
 
0.8%
358
 
0.8%
Other values (30)120
 
12.6%
(Missing)720
75.9%
ValueCountFrequency (%)
181
 
0.1%
192
0.2%
201
 
0.1%
212
0.2%
223
0.3%
ValueCountFrequency (%)
722
 
0.2%
713
 
0.3%
698
0.8%
657
0.7%
636
0.6%

Vineland_ext_autonomia_DP-P
Real number (ℝ)

MISSING

Distinct2
Distinct (%)100.0%
Missing947
Missing (%)99.8%
Infinite0
Infinite (%)0.0%
Mean32
Minimum-3
Maximum67
Zeros0
Zeros (%)0.0%
Negative1
Negative (%)0.1%
Memory size7.5 KiB
2022-12-16T17:31:24.400568image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-3
5-th percentile0.5
Q114.5
median32
Q349.5
95-th percentile63.5
Maximum67
Range70
Interquartile range (IQR)35

Descriptive statistics

Standard deviation49.49747468
Coefficient of variation (CV)1.546796084
Kurtosisnan
Mean32
Median Absolute Deviation (MAD)35
Skewnessnan
Sum64
Variance2450
MonotonicityStrictly decreasing
2022-12-16T17:31:24.492358image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
671
 
0.1%
-31
 
0.1%
(Missing)947
99.8%
ValueCountFrequency (%)
-31
0.1%
671
0.1%
ValueCountFrequency (%)
671
0.1%
-31
0.1%
Distinct3
Distinct (%)100.0%
Missing946
Missing (%)99.7%
Memory size7.5 KiB
Sim_x001D_ Isolamento
Sim_x001D_Isolamento
Não

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st rowSim_x001D_ Isolamento
2nd rowSim_x001D_Isolamento
3rd rowNão

Common Values

ValueCountFrequency (%)
Sim_x001D_ Isolamento1
 
0.1%
Sim_x001D_Isolamento1
 
0.1%
Não1
 
0.1%
(Missing)946
99.7%

Vineland_ext_comunicação_DP-P
Real number (ℝ)

MISSING

Distinct2
Distinct (%)100.0%
Missing947
Missing (%)99.8%
Infinite0
Infinite (%)0.0%
Mean28.5
Minimum-3
Maximum60
Zeros0
Zeros (%)0.0%
Negative1
Negative (%)0.1%
Memory size7.5 KiB
2022-12-16T17:31:24.597147image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-3
5-th percentile0.15
Q112.75
median28.5
Q344.25
95-th percentile56.85
Maximum60
Range63
Interquartile range (IQR)31.5

Descriptive statistics

Standard deviation44.54772721
Coefficient of variation (CV)1.563078148
Kurtosisnan
Mean28.5
Median Absolute Deviation (MAD)31.5
Skewnessnan
Sum57
Variance1984.5
MonotonicityStrictly decreasing
2022-12-16T17:31:24.688412image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
601
 
0.1%
-31
 
0.1%
(Missing)947
99.8%
ValueCountFrequency (%)
-31
0.1%
601
0.1%
ValueCountFrequency (%)
601
0.1%
-31
0.1%

Vineland_ext_global_DP-P
Real number (ℝ)

MISSING

Distinct2
Distinct (%)100.0%
Missing947
Missing (%)99.8%
Infinite0
Infinite (%)0.0%
Mean25
Minimum-3
Maximum53
Zeros0
Zeros (%)0.0%
Negative1
Negative (%)0.1%
Memory size7.5 KiB
2022-12-16T17:31:24.786923image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-3
5-th percentile-0.2
Q111
median25
Q339
95-th percentile50.2
Maximum53
Range56
Interquartile range (IQR)28

Descriptive statistics

Standard deviation39.59797975
Coefficient of variation (CV)1.58391919
Kurtosisnan
Mean25
Median Absolute Deviation (MAD)28
Skewnessnan
Sum50
Variance1568
MonotonicityStrictly decreasing
2022-12-16T17:31:24.871503image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
531
 
0.1%
-31
 
0.1%
(Missing)947
99.8%
ValueCountFrequency (%)
-31
0.1%
531
0.1%
ValueCountFrequency (%)
531
0.1%
-31
0.1%

Vineland_ext_socialização_DP-P
Real number (ℝ)

MISSING

Distinct3
Distinct (%)100.0%
Missing946
Missing (%)99.7%
Infinite0
Infinite (%)0.0%
Mean13
Minimum-2
Maximum35
Zeros0
Zeros (%)0.0%
Negative1
Negative (%)0.1%
Memory size7.5 KiB
2022-12-16T17:31:24.968886image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-1.2
Q12
median6
Q320.5
95-th percentile32.1
Maximum35
Range37
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation19.46792233
Coefficient of variation (CV)1.497532487
Kurtosisnan
Mean13
Median Absolute Deviation (MAD)8
Skewness1.408852992
Sum39
Variance379
MonotonicityStrictly decreasing
2022-12-16T17:31:25.066235image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
351
 
0.1%
61
 
0.1%
-21
 
0.1%
(Missing)946
99.7%
ValueCountFrequency (%)
-21
0.1%
61
0.1%
351
0.1%
ValueCountFrequency (%)
351
0.1%
61
0.1%
-21
0.1%

Vision
Categorical

HIGH CARDINALITY
MISSING

Distinct53
Distinct (%)6.2%
Missing101
Missing (%)10.6%
Memory size7.5 KiB
Normal C
605 
Normal-Oftal
80 
Normal
 
58
Anormal/of
 
14
Anormal/of_x001D_Estrabismo
 
13
Other values (48)
78 

Unique

Unique38 ?
Unique (%)4.5%

Sample

1st rowNormal C
2nd rowNormal C
3rd rowNormal C
4th rowNormal C
5th rowNormal C

Common Values

ValueCountFrequency (%)
Normal C605
63.8%
Normal-Oftal80
 
8.4%
Normal58
 
6.1%
Anormal/of14
 
1.5%
Anormal/of_x001D_Estrabismo13
 
1.4%
Anormal/of_x001D_Miopia8
 
0.8%
Normal - Oftal8
 
0.8%
Estrabismo_x001D_Anormal/of7
 
0.7%
Anormal/of_x001D_Astigmatismo_x001D_Miopia5
 
0.5%
Miopia_x001D_Anormal/of2
 
0.2%
Other values (43)48
 
5.1%
(Missing)101
 
10.6%

Voc_WISCIII
Real number (ℝ≥0)

MISSING

Distinct17
Distinct (%)7.3%
Missing716
Missing (%)75.4%
Infinite0
Infinite (%)0.0%
Mean7.43776824
Minimum1
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:25.187050image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median8
Q310
95-th percentile13
Maximum18
Range17
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.782529964
Coefficient of variation (CV)0.5085571158
Kurtosis-0.6526955397
Mean7.43776824
Median Absolute Deviation (MAD)3
Skewness0.0285302508
Sum1733
Variance14.30753293
MonotonicityNot monotonic
2022-12-16T17:31:25.295205image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
930
 
3.2%
1028
 
3.0%
721
 
2.2%
120
 
2.1%
419
 
2.0%
618
 
1.9%
817
 
1.8%
314
 
1.5%
513
 
1.4%
1212
 
1.3%
Other values (7)41
 
4.3%
(Missing)716
75.4%
ValueCountFrequency (%)
120
2.1%
28
 
0.8%
314
1.5%
419
2.0%
513
1.4%
ValueCountFrequency (%)
181
 
0.1%
161
 
0.1%
155
0.5%
144
 
0.4%
1311
1.2%

Voc_WPPSIR
Real number (ℝ≥0)

MISSING

Distinct9
Distinct (%)60.0%
Missing934
Missing (%)98.4%
Infinite0
Infinite (%)0.0%
Mean7.466666667
Minimum1
Maximum13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:25.407199image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.1
Q16.5
median7
Q39.5
95-th percentile12.3
Maximum13
Range12
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.044120015
Coefficient of variation (CV)0.4076946449
Kurtosis0.5597536359
Mean7.466666667
Median Absolute Deviation (MAD)2
Skewness-0.09393567178
Sum112
Variance9.266666667
MonotonicityNot monotonic
2022-12-16T17:31:25.514677image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
76
 
0.6%
102
 
0.2%
131
 
0.1%
61
 
0.1%
11
 
0.1%
51
 
0.1%
91
 
0.1%
41
 
0.1%
121
 
0.1%
(Missing)934
98.4%
ValueCountFrequency (%)
11
 
0.1%
41
 
0.1%
51
 
0.1%
61
 
0.1%
76
0.6%
ValueCountFrequency (%)
131
 
0.1%
121
 
0.1%
102
 
0.2%
91
 
0.1%
76
0.6%

WISCIII
Categorical

MISSING

Distinct2
Distinct (%)0.3%
Missing272
Missing (%)28.7%
Memory size7.5 KiB
N
402 
S
275 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowN
2nd rowN
3rd rowS
4th rowN
5th rowN

Common Values

ValueCountFrequency (%)
N402
42.4%
S275
29.0%
(Missing)272
28.7%

WISCIIIG
Real number (ℝ≥0)

MISSING

Distinct78
Distinct (%)29.4%
Missing684
Missing (%)72.1%
Infinite0
Infinite (%)0.0%
Mean84.18867925
Minimum40
Maximum143
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:25.652325image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum40
5-th percentile54
Q167
median85
Q3100
95-th percentile117
Maximum143
Range103
Interquartile range (IQR)33

Descriptive statistics

Standard deviation20.66293032
Coefficient of variation (CV)0.245435972
Kurtosis-0.5598898321
Mean84.18867925
Median Absolute Deviation (MAD)17
Skewness0.2123925252
Sum22310
Variance426.9566895
MonotonicityNot monotonic
2022-12-16T17:31:25.819415image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
679
 
0.9%
859
 
0.9%
658
 
0.8%
647
 
0.7%
937
 
0.7%
717
 
0.7%
897
 
0.7%
907
 
0.7%
1027
 
0.7%
757
 
0.7%
Other values (68)190
 
20.0%
(Missing)684
72.1%
ValueCountFrequency (%)
401
0.1%
411
0.1%
431
0.1%
472
0.2%
501
0.1%
ValueCountFrequency (%)
1431
0.1%
1421
0.1%
1321
0.1%
1311
0.1%
1291
0.1%

WISCIIIR
Real number (ℝ≥0)

MISSING

Distinct68
Distinct (%)24.7%
Missing674
Missing (%)71.0%
Infinite0
Infinite (%)0.0%
Mean129.1090909
Minimum46
Maximum11287
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:25.983430image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum46
5-th percentile58
Q174
median89
Q3103
95-th percentile124
Maximum11287
Range11241
Interquartile range (IQR)29

Descriptive statistics

Standard deviation675.6012535
Coefficient of variation (CV)5.232793824
Kurtosis274.5073749
Mean129.1090909
Median Absolute Deviation (MAD)14
Skewness16.56092679
Sum35505
Variance456437.0537
MonotonicityNot monotonic
2022-12-16T17:31:26.136050image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7710
 
1.1%
7610
 
1.1%
969
 
0.9%
959
 
0.9%
989
 
0.9%
929
 
0.9%
699
 
0.9%
1068
 
0.8%
1098
 
0.8%
878
 
0.8%
Other values (58)186
 
19.6%
(Missing)674
71.0%
ValueCountFrequency (%)
461
0.1%
471
0.1%
481
0.1%
512
0.2%
532
0.2%
ValueCountFrequency (%)
112871
0.1%
1461
0.1%
1431
0.1%
1401
0.1%
1381
0.1%

WISCIIIV
Real number (ℝ≥0)

MISSING

Distinct68
Distinct (%)25.6%
Missing683
Missing (%)72.0%
Infinite0
Infinite (%)0.0%
Mean84.33082707
Minimum46
Maximum133
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:26.295406image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum46
5-th percentile49
Q166
median86
Q3100
95-th percentile123.5
Maximum133
Range87
Interquartile range (IQR)34

Descriptive statistics

Standard deviation22.06789585
Coefficient of variation (CV)0.2616824312
Kurtosis-0.8326767138
Mean84.33082707
Median Absolute Deviation (MAD)18
Skewness0.1169256392
Sum22432
Variance486.9920272
MonotonicityNot monotonic
2022-12-16T17:31:26.442353image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8712
 
1.3%
9711
 
1.2%
929
 
0.9%
669
 
0.9%
468
 
0.8%
677
 
0.7%
967
 
0.7%
1007
 
0.7%
617
 
0.7%
757
 
0.7%
Other values (58)182
 
19.2%
(Missing)683
72.0%
ValueCountFrequency (%)
468
0.8%
473
 
0.3%
481
 
0.1%
493
 
0.3%
502
 
0.2%
ValueCountFrequency (%)
1331
 
0.1%
1321
 
0.1%
1312
0.2%
1301
 
0.1%
1273
0.3%

WISCIII_Data
Categorical

HIGH CARDINALITY
MISSING

Distinct257
Distinct (%)93.8%
Missing675
Missing (%)71.1%
Memory size7.5 KiB
2012-07-05
 
3
2010-04-29
 
3
2003-12-11
 
2
2016-06-28
 
2
2016-09-12
 
2
Other values (252)
262 

Unique

Unique242 ?
Unique (%)88.3%

Sample

1st row2006-02-16
2nd row2004-02-03
3rd row2005-02-24
4th row2007-03-22
5th row2005-02-02

Common Values

ValueCountFrequency (%)
2012-07-053
 
0.3%
2010-04-293
 
0.3%
2003-12-112
 
0.2%
2016-06-282
 
0.2%
2016-09-122
 
0.2%
2015-01-082
 
0.2%
2015-09-082
 
0.2%
2012-05-032
 
0.2%
2007-05-312
 
0.2%
2012-05-312
 
0.2%
Other values (247)252
 
26.6%
(Missing)675
71.1%

WISCIII_Pcv
Real number (ℝ≥0)

MISSING

Distinct45
Distinct (%)20.1%
Missing725
Missing (%)76.4%
Infinite0
Infinite (%)0.0%
Mean31.22098214
Minimum0.1
Maximum98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:26.597299image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.1
Q12
median19
Q358
95-th percentile95
Maximum98
Range97.9
Interquartile range (IQR)56

Descriptive statistics

Standard deviation31.86900116
Coefficient of variation (CV)1.020755882
Kurtosis-0.8310234945
Mean31.22098214
Median Absolute Deviation (MAD)18.6
Skewness0.725760261
Sum6993.5
Variance1015.633235
MonotonicityNot monotonic
2022-12-16T17:31:26.748026image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
0.115
 
1.6%
3012
 
1.3%
5810
 
1.1%
310
 
1.1%
49
 
0.9%
479
 
0.9%
0.38
 
0.8%
27
 
0.7%
197
 
0.7%
0.27
 
0.7%
Other values (35)130
 
13.7%
(Missing)725
76.4%
ValueCountFrequency (%)
0.115
1.6%
0.27
0.7%
0.38
0.8%
0.43
 
0.3%
0.54
 
0.4%
ValueCountFrequency (%)
981
 
0.1%
974
0.4%
962
 
0.2%
956
0.6%
941
 
0.1%

WISCIII_Pop
Real number (ℝ≥0)

MISSING

Distinct50
Distinct (%)21.4%
Missing715
Missing (%)75.3%
Infinite0
Infinite (%)0.0%
Mean40.28931624
Minimum0.1
Maximum99.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:26.909243image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.465
Q16
median32
Q368
95-th percentile97
Maximum99.9
Range99.8
Interquartile range (IQR)62

Descriptive statistics

Standard deviation33.73531556
Coefficient of variation (CV)0.8373265847
Kurtosis-1.34488692
Mean40.28931624
Median Absolute Deviation (MAD)28.5
Skewness0.3326006589
Sum9427.7
Variance1138.071516
MonotonicityNot monotonic
2022-12-16T17:31:27.099761image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6513
 
1.4%
610
 
1.1%
3210
 
1.1%
879
 
0.9%
589
 
0.9%
218
 
0.8%
508
 
0.8%
188
 
0.8%
48
 
0.8%
777
 
0.7%
Other values (40)144
 
15.2%
(Missing)715
75.3%
ValueCountFrequency (%)
0.17
0.7%
0.21
 
0.1%
0.33
0.3%
0.41
 
0.1%
0.53
0.3%
ValueCountFrequency (%)
99.91
 
0.1%
99.81
 
0.1%
99.72
 
0.2%
99.21
 
0.1%
996
0.6%

WISCIII_Pvp
Real number (ℝ≥0)

MISSING

Distinct26
Distinct (%)13.0%
Missing749
Missing (%)78.9%
Infinite0
Infinite (%)0.0%
Mean25.0025
Minimum0.1
Maximum99.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:27.250153image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.1
Q13
median18
Q337
95-th percentile79.15
Maximum99.9
Range99.8
Interquartile range (IQR)34

Descriptive statistics

Standard deviation26.00141557
Coefficient of variation (CV)1.039952628
Kurtosis0.2160146796
Mean25.0025
Median Absolute Deviation (MAD)15
Skewness1.114284783
Sum5000.5
Variance676.0736118
MonotonicityNot monotonic
2022-12-16T17:31:27.381620image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1820
 
2.1%
1416
 
1.7%
0.114
 
1.5%
2314
 
1.5%
314
 
1.5%
3713
 
1.4%
3013
 
1.4%
111
 
1.2%
1011
 
1.2%
68
 
0.8%
Other values (16)66
 
7.0%
(Missing)749
78.9%
ValueCountFrequency (%)
0.114
1.5%
0.21
 
0.1%
0.36
0.6%
0.77
0.7%
111
1.2%
ValueCountFrequency (%)
99.91
 
0.1%
99.31
 
0.1%
901
 
0.1%
874
0.4%
823
0.3%

WISCIIIcv
Real number (ℝ≥0)

MISSING

Distinct57
Distinct (%)23.9%
Missing711
Missing (%)74.9%
Infinite0
Infinite (%)0.0%
Mean85.40336134
Minimum48
Maximum132
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:27.528621image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum48
5-th percentile52
Q168
median87
Q3102
95-th percentile124.15
Maximum132
Range84
Interquartile range (IQR)34

Descriptive statistics

Standard deviation21.66072077
Coefficient of variation (CV)0.2536284336
Kurtosis-0.9154621444
Mean85.40336134
Median Absolute Deviation (MAD)16
Skewness0.06296267296
Sum20326
Variance469.1868241
MonotonicityNot monotonic
2022-12-16T17:31:27.681324image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9213
 
1.4%
10311
 
1.2%
749
 
0.9%
999
 
0.9%
977
 
0.7%
877
 
0.7%
826
 
0.6%
716
 
0.6%
1026
 
0.6%
486
 
0.6%
Other values (47)158
 
16.6%
(Missing)711
74.9%
ValueCountFrequency (%)
486
0.6%
492
 
0.2%
502
 
0.2%
511
 
0.1%
524
0.4%
ValueCountFrequency (%)
1321
 
0.1%
1292
 
0.2%
1281
 
0.1%
1262
 
0.2%
1256
0.6%

WISCIIIop
Real number (ℝ≥0)

MISSING

Distinct58
Distinct (%)23.9%
Missing706
Missing (%)74.4%
Infinite0
Infinite (%)0.0%
Mean92.80246914
Minimum19
Maximum145
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:27.837271image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile59.1
Q177
median93
Q3106.5
95-th percentile129
Maximum145
Range126
Interquartile range (IQR)29.5

Descriptive statistics

Standard deviation21.47981164
Coefficient of variation (CV)0.2314573291
Kurtosis-0.1461711636
Mean92.80246914
Median Absolute Deviation (MAD)16
Skewness0.01401993229
Sum22551
Variance461.3823079
MonotonicityNot monotonic
2022-12-16T17:31:28.009977image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10613
 
1.4%
7711
 
1.2%
9310
 
1.1%
1179
 
0.9%
1039
 
0.9%
888
 
0.8%
1008
 
0.8%
868
 
0.8%
968
 
0.8%
837
 
0.7%
Other values (48)152
 
16.0%
(Missing)706
74.4%
ValueCountFrequency (%)
191
0.1%
501
0.1%
511
0.1%
521
0.1%
542
0.2%
ValueCountFrequency (%)
1451
 
0.1%
1431
 
0.1%
1422
 
0.2%
1361
 
0.1%
1356
0.6%

WISCIIIvp
Real number (ℝ≥0)

MISSING

Distinct31
Distinct (%)14.6%
Missing736
Missing (%)77.6%
Infinite0
Infinite (%)0.0%
Mean83.61032864
Minimum50
Maximum147
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:28.171463image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum50
5-th percentile53
Q171
median84
Q395
95-th percentile112.8
Maximum147
Range97
Interquartile range (IQR)24

Descriptive statistics

Standard deviation18.2124073
Coefficient of variation (CV)0.2178248501
Kurtosis0.1391818331
Mean83.61032864
Median Absolute Deviation (MAD)11
Skewness0.226516216
Sum17809
Variance331.6917796
MonotonicityNot monotonic
2022-12-16T17:31:28.304919image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
8619
 
2.0%
8416
 
1.7%
8914
 
1.5%
9214
 
1.5%
7114
 
1.5%
8113
 
1.4%
9513
 
1.4%
6712
 
1.3%
779
 
0.9%
749
 
0.9%
Other values (21)80
 
8.4%
(Missing)736
77.6%
ValueCountFrequency (%)
505
0.5%
514
0.4%
534
0.4%
546
0.6%
572
 
0.2%
ValueCountFrequency (%)
1471
 
0.1%
1371
 
0.1%
1311
 
0.1%
1191
 
0.1%
1174
0.4%

WPPSI-R
Categorical

MISSING

Distinct2
Distinct (%)0.3%
Missing317
Missing (%)33.4%
Memory size7.5 KiB
N
603 
S
 
29

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowN
2nd rowN
3rd rowN
4th rowN
5th rowN

Common Values

ValueCountFrequency (%)
N603
63.5%
S29
 
3.1%
(Missing)317
33.4%

WPPSI-R_QIec
Real number (ℝ≥0)

MISSING

Distinct23
Distinct (%)92.0%
Missing924
Missing (%)97.4%
Infinite0
Infinite (%)0.0%
Mean92.08
Minimum54
Maximum134
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:28.437915image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum54
5-th percentile64
Q183
median91
Q3101
95-th percentile117.4
Maximum134
Range80
Interquartile range (IQR)18

Descriptive statistics

Standard deviation18.16113065
Coefficient of variation (CV)0.1972320879
Kurtosis0.2811465801
Mean92.08
Median Absolute Deviation (MAD)9
Skewness0.07130049137
Sum2302
Variance329.8266667
MonotonicityNot monotonic
2022-12-16T17:31:28.564709image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
952
 
0.2%
912
 
0.2%
821
 
0.1%
981
 
0.1%
681
 
0.1%
1121
 
0.1%
901
 
0.1%
1061
 
0.1%
1151
 
0.1%
1081
 
0.1%
Other values (13)13
 
1.4%
(Missing)924
97.4%
ValueCountFrequency (%)
541
0.1%
631
0.1%
681
0.1%
721
0.1%
751
0.1%
ValueCountFrequency (%)
1341
0.1%
1181
0.1%
1151
0.1%
1121
0.1%
1081
0.1%

WPPSI-R_QIr
Real number (ℝ≥0)

MISSING

Distinct20
Distinct (%)80.0%
Missing924
Missing (%)97.4%
Infinite0
Infinite (%)0.0%
Mean98.84
Minimum55
Maximum131
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:28.702302image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum55
5-th percentile69.4
Q187
median96
Q3114
95-th percentile127.2
Maximum131
Range76
Interquartile range (IQR)27

Descriptive statistics

Standard deviation19.7033838
Coefficient of variation (CV)0.1993462546
Kurtosis-0.3590900661
Mean98.84
Median Absolute Deviation (MAD)16
Skewness-0.3802295257
Sum2471
Variance388.2233333
MonotonicityNot monotonic
2022-12-16T17:31:28.817813image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
965
 
0.5%
712
 
0.2%
1061
 
0.1%
1241
 
0.1%
1141
 
0.1%
1211
 
0.1%
551
 
0.1%
1041
 
0.1%
1151
 
0.1%
1001
 
0.1%
Other values (10)10
 
1.1%
(Missing)924
97.4%
ValueCountFrequency (%)
551
0.1%
691
0.1%
712
0.2%
791
0.1%
851
0.1%
ValueCountFrequency (%)
1311
0.1%
1281
0.1%
1241
0.1%
1211
0.1%
1171
0.1%

WPPSI-R_QIv
Real number (ℝ≥0)

MISSING

Distinct18
Distinct (%)72.0%
Missing924
Missing (%)97.4%
Infinite0
Infinite (%)0.0%
Mean87.72
Minimum48
Maximum125
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:28.945061image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum48
5-th percentile55.2
Q172
median87
Q3103
95-th percentile121
Maximum125
Range77
Interquartile range (IQR)31

Descriptive statistics

Standard deviation19.73474094
Coefficient of variation (CV)0.2249742469
Kurtosis-0.2536174078
Mean87.72
Median Absolute Deviation (MAD)15
Skewness0.01338245245
Sum2193
Variance389.46
MonotonicityNot monotonic
2022-12-16T17:31:29.067056image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1033
 
0.3%
712
 
0.2%
872
 
0.2%
952
 
0.2%
812
 
0.2%
722
 
0.2%
801
 
0.1%
971
 
0.1%
531
 
0.1%
481
 
0.1%
Other values (8)8
 
0.8%
(Missing)924
97.4%
ValueCountFrequency (%)
481
0.1%
531
0.1%
641
0.1%
712
0.2%
722
0.2%
ValueCountFrequency (%)
1251
 
0.1%
1231
 
0.1%
1131
 
0.1%
1121
 
0.1%
1033
0.3%

WPPSIR_data
Categorical

MISSING

Distinct27
Distinct (%)100.0%
Missing922
Missing (%)97.2%
Memory size7.5 KiB
2004-09-21
 
1
2017-04-27
 
1
2017-03-01
 
1
2014-04-14
 
1
2018-06-25
 
1
Other values (22)
22 

Unique

Unique27 ?
Unique (%)100.0%

Sample

1st row2004-09-21
2nd row2004-06-23
3rd row2005-01-17
4th row2004-09-15
5th row2005-05-25

Common Values

ValueCountFrequency (%)
2004-09-211
 
0.1%
2017-04-271
 
0.1%
2017-03-011
 
0.1%
2014-04-141
 
0.1%
2018-06-251
 
0.1%
2014-01-151
 
0.1%
2016-05-101
 
0.1%
2010-03-251
 
0.1%
2008-03-061
 
0.1%
2008-06-051
 
0.1%
Other values (17)17
 
1.8%
(Missing)922
97.2%

nivel_autonomia_V
Real number (ℝ≥0)

MISSING

Distinct121
Distinct (%)15.4%
Missing165
Missing (%)17.4%
Infinite0
Infinite (%)0.0%
Mean62.13520408
Minimum10
Maximum180
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2022-12-16T17:31:29.222537image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile19
Q137
median56
Q380
95-th percentile130
Maximum180
Range170
Interquartile range (IQR)43

Descriptive statistics

Standard deviation33.88949189
Coefficient of variation (CV)0.5454153148
Kurtosis0.3724994484
Mean62.13520408
Median Absolute Deviation (MAD)20
Skewness0.9238119814
Sum48714
Variance1148.497661
MonotonicityNot monotonic
2022-12-16T17:31:29.372918image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5921
 
2.2%
1921
 
2.2%
6220
 
2.1%
3919
 
2.0%
2817
 
1.8%
4916
 
1.7%
4116
 
1.7%
6915
 
1.6%
3515
 
1.6%
4714
 
1.5%
Other values (111)610
64.3%
(Missing)165
 
17.4%
ValueCountFrequency (%)
101
 
0.1%
111
 
0.1%
123
0.3%
131
 
0.1%
145
0.5%
ValueCountFrequency (%)
1801
 
0.1%
1742
0.2%
1691
 
0.1%
1681
 
0.1%
1623
0.3%

verbal
Categorical

MISSING

Distinct2
Distinct (%)0.3%
Missing365
Missing (%)38.5%
Memory size7.5 KiB
No
403 
Yes
181 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowYes
5th rowNo

Common Values

ValueCountFrequency (%)
No403
42.5%
Yes181
19.1%
(Missing)365
38.5%